diff --git a/docs/source/dev_guide/advanced_install/advanced_install_guide_compilation.md b/docs/source/dev_guide/advanced_install/advanced_install_guide_compilation.md
index 287d9caa..086e99f0 100644
--- a/docs/source/dev_guide/advanced_install/advanced_install_guide_compilation.md
+++ b/docs/source/dev_guide/advanced_install/advanced_install_guide_compilation.md
@@ -150,7 +150,7 @@ packages:
 
 ### (Optional) Step 6: Install OpenVINO™ GenAI (only for Ubuntu)
 
-To use [gvagenai element](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/elements/gvagenai.html)
+To use [gvagenai element](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/elements/gvagenai.html)
 you need to install the [OpenVINO GenAI archive](https://docs.openvino.ai/2026/get-started/install-openvino/install-openvino-genai.html) package.
 
 <!--hide_directive::::{tab-set}
diff --git a/docs/source/dev_guide/custom_processing.md b/docs/source/dev_guide/custom_processing.md
index 5bda63eb..90fa6e4a 100644
--- a/docs/source/dev_guide/custom_processing.md
+++ b/docs/source/dev_guide/custom_processing.md
@@ -129,7 +129,6 @@ to the
 
 **Current Support Limitations**
 
-
 At this time, only **detection** and **classification** tasks are supported:
 
 - **Object Detection** (`GstAnalyticsODMtd`) - works only with the
diff --git a/docs/source/dev_guide/gpu_device_selection.md b/docs/source/dev_guide/gpu_device_selection.md
index c5fb73c6..aec26c38 100644
--- a/docs/source/dev_guide/gpu_device_selection.md
+++ b/docs/source/dev_guide/gpu_device_selection.md
@@ -9,7 +9,7 @@ This article describes how to select a GPU device on a multi-GPU system.
 In case of video decoding running on CPU and inference running on GPU, the
 `device` property in inference elements enables you to select the GPU device
 according to the
-[OpenVINO™ GPU device naming convention](https://docs.openvino.ai/2024/openvino-workflow/running-inference/inference-devices-and-modes/gpu-device.html#device-naming-convention)
+[OpenVINO™ GPU device naming convention](https://docs.openvino.ai/2026/openvino-workflow/running-inference/inference-devices-and-modes/gpu-device.html#device-naming-convention)
 , with devices enumerated as **GPU.0**, **GPU.1**, etc., for example:
 
 ```bash
diff --git a/docs/source/dev_guide/lvms.md b/docs/source/dev_guide/lvms.md
index 1a6cd76f..e57b6ca2 100644
--- a/docs/source/dev_guide/lvms.md
+++ b/docs/source/dev_guide/lvms.md
@@ -2,7 +2,7 @@
 
 This article explains how to prepare models based on the [Hugging Face](https://huggingface.co/welcome) [`transformers`](https://github.com/huggingface/transformers) library for integration with the Deep Learning Streamer pipeline.
 
-Many transformer-based models can be converted to OpenVINO™ IR format using [optimum-cli](https://huggingface.co/docs/optimum-intel/en/openvino/export). DL Streamer supports selected Hugging Face architectures for tasks such as image classification, object detection, audio transcription, and more. See the [Supported Models](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/supported_models.html) table for details.
+Many transformer-based models can be converted to OpenVINO™ IR format using [optimum-cli](https://huggingface.co/docs/optimum-intel/en/openvino/export). DL Streamer supports selected Hugging Face architectures for tasks such as image classification, object detection, audio transcription, and more. See the [Supported Models](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/supported_models.html) table for details.
 
 > **NOTE:** The instructions below are comprehensive, but for convenience, we recommend using the
 > [download_hf_models.py](https://github.com/open-edge-platform/dlstreamer/blob/main/scripts/download_models/download_hf_models.py)
@@ -12,7 +12,7 @@ Many transformer-based models can be converted to OpenVINO™ IR format using [o
 
 ## Optimum-Intel Supported Models
 
-The list available [here](https://huggingface.co/docs/optimum-intel/en/openvino/models) includes models that can be converted to IR format with a single `optimum-cli` command. If a model architecture is [supported by DL Streamer](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/supported_models.html#supported-architectures), it can typically be prepared as follows:
+The list available [here](https://huggingface.co/docs/optimum-intel/en/openvino/models) includes models that can be converted to IR format with a single `optimum-cli` command. If a model architecture is [supported by DL Streamer](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/supported_models.html#supported-architectures), it can typically be prepared as follows:
 
 ```bash
 optimum-cli export openvino --model provider_id/model_id --weight-format=int8 output_path
diff --git a/docs/source/dev_guide/model_preparation.md b/docs/source/dev_guide/model_preparation.md
index 6c2e57a4..2660b959 100644
--- a/docs/source/dev_guide/model_preparation.md
+++ b/docs/source/dev_guide/model_preparation.md
@@ -43,7 +43,7 @@ You can either:
    [Open Model Zoo](https://github.com/openvinotoolkit/open_model_zoo)
    (already in the IR format).
 2. Use
-   [OpenVINO™ Toolkit Model Conversion](https://docs.openvino.ai/2024/openvino-workflow/model-preparation/convert-model-to-ir.html)
+   [OpenVINO™ Toolkit Model Conversion](https://docs.openvino.ai/2026/openvino-workflow/model-preparation/convert-model-to-ir.html)
    method for converting your model from the training framework format
    (e.g., TensorFlow) to the IR format.
 
@@ -52,7 +52,7 @@ When using a pre-trained model from Open Model Zoo, consider using the
 tool to facilitate the model downloading process.
 
 When converting a custom model, you can optionally utilize the
-[Post-Training Model Optimization and Compression](https://docs.openvino.ai/2024/openvino-workflow/model-optimization.html)
+[Post-Training Model Optimization and Compression](https://docs.openvino.ai/2026/openvino-workflow/model-optimization.html)
 for converting the model into a performance efficient, and more
 hardware-friendly representation. For example you can quantize it from 32-bit
 floating point-precision into 8-bit integer precision. This gives a
diff --git a/docs/source/dev_guide/openvino_custom_operations.md b/docs/source/dev_guide/openvino_custom_operations.md
index 9fd4d57f..eea241cb 100644
--- a/docs/source/dev_guide/openvino_custom_operations.md
+++ b/docs/source/dev_guide/openvino_custom_operations.md
@@ -22,7 +22,7 @@ Before using custom operations, you need:
 1. **OpenVINO™ Extension Library** - A compiled `.so` file (on Linux) containing the implementation of custom operations
 2. **Model with Custom Operations** - An OpenVINO™ IR model that uses the custom operations defined in the extension library
 
-For information on creating OpenVINO™ extension libraries, refer to the [OpenVINO™ Extensibility documentation](https://docs.openvino.ai/2025/documentation/openvino-extensibility.html).
+For information on creating OpenVINO™ extension libraries, refer to the [OpenVINO™ Extensibility documentation](https://docs.openvino.ai/2026/documentation/openvino-extensibility.html).
 
 ## Usage
 
diff --git a/docs/source/dev_guide/python_bindings.md b/docs/source/dev_guide/python_bindings.md
index 2e3ae6f4..177b1787 100644
--- a/docs/source/dev_guide/python_bindings.md
+++ b/docs/source/dev_guide/python_bindings.md
@@ -70,7 +70,7 @@ The *gvapython* element is implemented in "C" language as a normal GStreamer
 element and it invokes Python functions via "C" interface (Python.h).
 
 See the samples for the *gvapython* element in
-[face_detection_and_classification](https://github.com/dlstreamer/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvapython/face_detection_and_classification) folder.
+[face_detection_and_classification](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvapython/face_detection_and_classification) folder.
 
 ## 4. Performance considerations
 
diff --git a/docs/source/dev_guide/yolo_models.md b/docs/source/dev_guide/yolo_models.md
index f6308869..5ebc2961 100644
--- a/docs/source/dev_guide/yolo_models.md
+++ b/docs/source/dev_guide/yolo_models.md
@@ -5,7 +5,7 @@ integration with the Deep Learning Streamer pipeline.
 
 ## Ultralytics Model Preparation
 
-All models supported by the [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) library can be converted to OpenVINO™ IR format by using the [Ultralytics exporter](https://docs.ultralytics.com/integrations/openvino/). DL Streamer supports many Ultralytics YOLO architectures for tasks such as zero-shot object detection, oriented object detection, segmentation, pose estimation, and more. See the [Supported Models](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/supported_models.html) table for details.
+All models supported by the [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) library can be converted to OpenVINO™ IR format by using the [Ultralytics exporter](https://docs.ultralytics.com/integrations/openvino/). DL Streamer supports many Ultralytics YOLO architectures for tasks such as zero-shot object detection, oriented object detection, segmentation, pose estimation, and more. See the [Supported Models](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/supported_models.html) table for details.
 
 > **NOTE:** The instructions below are comprehensive, but for convenience, we recommend using the
 > [download_ultralytics_models.py](https://github.com/open-edge-platform/dlstreamer/blob/main/scripts/download_models/download_ultralytics_models.py)
diff --git a/docs/source/get_started/tutorial.md b/docs/source/get_started/tutorial.md
index 8082769e..157a3477 100644
--- a/docs/source/get_started/tutorial.md
+++ b/docs/source/get_started/tutorial.md
@@ -217,7 +217,7 @@ Ubuntu.
     If you want to use your own models, you first need to convert them
     to the IR (Intermediate Representation) format. For detailed
     instructions on how to convert models, look
-    [here](https://docs.openvino.ai/2025/openvino-workflow/model-preparation/convert-model-to-ir.html)
+    [here](https://docs.openvino.ai/2026/openvino-workflow/model-preparation/convert-model-to-ir.html)
 
 4.  Export the example video file path:
 
@@ -333,7 +333,7 @@ Follow these steps if you chose Option #2 (Docker) in Install Guide Ubuntu.
 
     If you want to use your own models, first you need to convert them
     in the IR (Intermediate Representation) format. For detailed
-    instructions on how to convert models, look [here](https://docs.openvino.ai/2025/openvino-workflow/model-preparation/convert-model-to-ir.html).
+    instructions on how to convert models, look [here](https://docs.openvino.ai/2026/openvino-workflow/model-preparation/convert-model-to-ir.html).
 
 6.  In the container, export the example video file path:
 
diff --git a/docs/source/index.md b/docs/source/index.md
index 32687776..6969cb52 100644
--- a/docs/source/index.md
+++ b/docs/source/index.md
@@ -21,7 +21,7 @@ or at the Edge. DL Streamer consists of:
   for designing, creating, building, and running media analytics
   pipelines. It includes C++ and Python APIs.
 - [Deep Learning Streamer Pipeline
-  Server](https://github.com/open-edge-platform/edge-ai-libraries/tree/main/microservices/dlstreamer-pipeline-server)
+  Server](https://github.com/open-edge-platform/edge-ai-libraries/tree/release-2026.0.0/microservices/dlstreamer-pipeline-server)
   for deploying and scaling media analytics pipelines as
   micro-services on one or many compute nodes. It includes REST APIs
   for pipelines management.
@@ -82,7 +82,7 @@ deploy, and benchmark. They require:
 **DL Streamer** uses OpenVINO™ Runtime inference back-end,
 optimized for Intel hardware platforms and supports over
 [70 NN Intel and open-source community pre-trained models](https://github.com/open-edge-platform/dlstreamer/blob/main/docs/scripts/supported_models.json), and models converted
-[from other training frameworks](https://docs.openvino.ai/2024/openvino-workflow/model-preparation/convert-model-to-ir.html).
+[from other training frameworks](https://docs.openvino.ai/2026/openvino-workflow/model-preparation/convert-model-to-ir.html).
 These models include object detection, object classification, human pose
 detection, sound classification, semantic segmentation, and other use
 cases: SSD, MobileNet, YOLO, Tiny YOLO, EfficientDet, ResNet,
@@ -92,7 +92,7 @@ FasterRCNN, and other models.
 reference apps for the most common media analytics use cases. They are
 included in
 [Deep Learning Streamer Pipeline Framework](https://github.com/open-edge-platform/dlstreamer/tree/main),
-[Deep Learning Streamer Pipeline Server](https://github.com/open-edge-platform/edge-ai-libraries/tree/main/microservices/dlstreamer-pipeline-server),
+[Deep Learning Streamer Pipeline Server](https://github.com/open-edge-platform/edge-ai-libraries/tree/release-2026.0.0/microservices/dlstreamer-pipeline-server),
 [Open Visual Cloud](https://github.com/OpenVisualCloud), and
 [Intel® Edge Software Hub](https://www.intel.com/content/www/us/en/edge-computing/edge-software-hub.html)
 The samples demonstrate C++ and/or Python based: Action Recognition, Face Detection and
diff --git a/docs/source/supported_models.md b/docs/source/supported_models.md
index 815e1240..8dbd50a0 100644
--- a/docs/source/supported_models.md
+++ b/docs/source/supported_models.md
@@ -17,15 +17,15 @@ The table provides links to model preparation instructions describing download a
 | STFPM                                                                           | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | [GETI Deployment](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/geti_deployment)                                                                 |
 | UFlow                                                                           | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | [GETI Deployment](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/geti_deployment)                                                                 |
 | **--- Detection:**                                                              |                                                                                                                                     |                                                                                                                                  |                                                                                                                                                                                            |
-| YOLOv5u                                                                         | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov5nu.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov5nu.pt)                                        | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLOv8                                                                          | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov8n.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov8n.pt)                                          | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLOv9                                                                          | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov9s.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov9s.pt)                                          | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLOv10                                                                         | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov10n.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov10n.pt)                                        | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLO11                                                                          | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo11n.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo11n.pt)                                          | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLO26                                                                          | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo26n.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n.pt)                                          | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLOE-26                                                                        | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yoloe-26n-seg.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yoloe-26n-seg.pt)                              | [Prompt-based Object Detection](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/python/prompted_detection)                                                    |
-| RTDetrForObjectDetection                                                        | [Optimum-onnx + OpenVINO ovc](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)         | [PekingU/​rrtdetr_r50vd](https://huggingface.co/PekingU/rtdetr_r50vd)                                                             | [Smart Network Video Recorder for Lane Hogging Detection](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/python/smart_nvr)                                   |
-| RtDetrV2ForObjectDetection                                                      | [Optimum-onnx + OpenVINO ovc](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)         | [PekingU/​rtdetr_v2_r18vd](https://huggingface.co/PekingU/rtdetr_v2_r18vd)                                                        | [Smart Network Video Recorder for Lane Hogging Detection](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/python/smart_nvr)                                   |
+| YOLOv5u                                                                         | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov5nu.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov5nu.pt)                                        | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLOv8                                                                          | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov8n.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov8n.pt)                                          | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLOv9                                                                          | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov9s.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov9s.pt)                                          | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLOv10                                                                         | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov10n.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov10n.pt)                                        | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLO11                                                                          | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo11n.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo11n.pt)                                          | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLO26                                                                          | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo26n.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n.pt)                                          | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLOE-26                                                                        | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yoloe-26n-seg.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yoloe-26n-seg.pt)                              | [Prompt-based Object Detection](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/python/prompted_detection)                                                    |
+| RTDetrForObjectDetection                                                        | [Optimum-onnx + OpenVINO ovc](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)         | [PekingU/​rrtdetr_r50vd](https://huggingface.co/PekingU/rtdetr_r50vd)                                                             | [Smart Network Video Recorder for Lane Hogging Detection](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/python/smart_nvr)                                   |
+| RtDetrV2ForObjectDetection                                                      | [Optimum-onnx + OpenVINO ovc](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)         | [PekingU/​rtdetr_v2_r18vd](https://huggingface.co/PekingU/rtdetr_v2_r18vd)                                                        | [Smart Network Video Recorder for Lane Hogging Detection](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/python/smart_nvr)                                   |
 | ATSS with ResNet or MobilenetV2                                                 | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | &nbsp;                                                                                                                                                                                     |
 | SSD with MobilenetV2                                                            | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | &nbsp;                                                                                                                                                                                     |
 | RT-DETR                                                                         | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | &nbsp;                                                                                                                                                                                     |
@@ -38,48 +38,48 @@ The table provides links to model preparation instructions describing download a
 | **--- Feature Extraction:**                                                     |                                                                                                                                     |                                                                                                                                  | &nbsp;                                                                                                                                                                                     |
 | [Mars-small128](https://github.com/ZQPei/deep_sort_pytorch)                     | [download_public_models.sh](https://github.com/open-edge-platform/dlstreamer/blob/main/samples/download_public_models.sh)           | &nbsp;                                                                                                                           | [Deep SORT Tracking](https://github.com/open-edge-platform/dlstreamer/blob/main/docs/source/dev_guide/object_tracking.md#deep-sort-tracking)                                               |
 | **--- Image Classification:**                                                   |                                                                                                                                     |                                                                                                                                  |                                                                                                                                                                                            |
-| ViTForImageClassification                                                       | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [dima806/​fairface_age_image_detection](https://huggingface.co/dima806/fairface_age_image_detection)                             | [Face Detection and Classification](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/python/face_detection_and_classification)                                 |
+| ViTForImageClassification                                                       | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [dima806/​fairface_age_image_detection](https://huggingface.co/dima806/fairface_age_image_detection)                             | [Face Detection and Classification](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/python/face_detection_and_classification)                                 |
 | Mobilenet-V3                                                                    | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | &nbsp;                                                                                                                                                                                     |
 | EfficientNet-B0                                                                 | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | &nbsp;                                                                                                                                                                                     |
 | DeitTiny                                                                        | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | &nbsp;                                                                                                                                                                                     |
 | **--- Image Embeddings:**                                                       |                                                                                                                                     |                                                                                                                                  |                                                                                                                                                                                            |
-| CLIPModel                                                                       | [CLIP ViT Conversion](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                 | [openai/​clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14)                                           | [Frame Embeddings](https://github.com/open-edge-platform/dlstreamer/blob/main/samples/gstreamer/gst_launch/lvm/README.md)                                                                  |
+| CLIPModel                                                                       | [CLIP ViT Conversion](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                 | [openai/​clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14)                                           | [Frame Embeddings](https://github.com/open-edge-platform/dlstreamer/blob/main/samples/gstreamer/gst_launch/lvm/README.md)                                                                  |
 | **--- Instance Segmentation:**                                                  |                                                                                                                                     |                                                                                                                                  |                                                                                                                                                                                            |
-| YOLOv8-seg                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov8n-seg.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov8n-seg.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLO11-seg                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo11n-seg.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo11n-seg.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLO26-seg                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo26n-seg.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-seg.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLOv8-seg                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov8n-seg.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov8n-seg.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLO11-seg                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo11n-seg.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo11n-seg.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLO26-seg                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo26n-seg.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-seg.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
 | MaskRCNN with EfficientNet, ResNet50, or Swin Transformer                       | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | &nbsp;                                                                                                                                                                                     |
 | RTMDet                                                                          | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | &nbsp;                                                                                                                                                                                     |
 | **--- Optical Character Recognition:**                                          |                                                                                                                                     |                                                                                                                                  |                                                                                                                                                                                            |
 | [Paddle OCRv4](https://github.com/PaddlePaddle/PaddleOCR)                       | [download_public_models.sh](https://github.com/open-edge-platform/dlstreamer/blob/main/samples/download_public_models.sh)           | ch_PP-OCRv4_rec_infer                                                                                                            | [License Plate Recognition Sample](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/license_plate_recognition)                                      |
 | **--- Oriented Detection:**                                                     |                                                                                                                                     |                                                                                                                                  |                                                                                                                                                                                            |
-| YOLOv8-obb                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov8n-obb.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov8n-obb.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLO11-obb                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo11n-obb.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo11n-obb.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLO26-obb                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo26n-obb.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-obb.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLOv8-obb                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov8n-obb.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov8n-obb.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLO11-obb                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo11n-obb.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo11n-obb.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLO26-obb                                                                      | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo26n-obb.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-obb.pt)                                  | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
 | **--- Pose Estimation:**                                                        |                                                                                                                                     |                                                                                                                                  |                                                                                                                                                                                            |
-| YOLOv8-pose                                                                     | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov8n-pose.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov8n-pose.pt)                                | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLO11-pose                                                                     | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo11n-pose.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo11n-pose.pt)                                | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
-| YOLO26-pose                                                                     | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo26n-pose.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-pose.pt)                                | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLOv8-pose                                                                     | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolov8n-pose.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov8n-pose.pt)                                | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLO11-pose                                                                     | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo11n-pose.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo11n-pose.pt)                                | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
+| YOLO26-pose                                                                     | [Ultralytics Exporter](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/yolo_models.html)         | [yolo26n-pose.pt](https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-pose.pt)                                | [Object Detection and Classification with YOLO](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/detection_with_yolo)                               |
 | **--- Semantic Segmentation:**                                                  |                                                                                                                                     |                                                                                                                                  |                                                                                                                                                                                            |
 | Lite-HRNet                                                                      | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | &nbsp;                                                                                                                                                                                     |
 | SegNext                                                                         | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | &nbsp;                                                                                                                                                                                     |
 | DinoV2                                                                          | [GETI](https://docs.geti.intel.com/docs/user-guide/getting-started/use-geti/supported-models)                                       | &nbsp;                                                                                                                           | &nbsp;                                                                                                                                                                                     |
 | **--- Speech Recognition:**                                                     |                                                                                                                                     |                                                                                                                                  |                                                                                                                                                                                            |
-| WhisperForConditionalGeneration                                                 | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [openai/​whisper-tiny](https://huggingface.co/openai/whisper-tiny)                                                               | [Audio Transcription](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/audio_transcribe)                                                            |
+| WhisperForConditionalGeneration                                                 | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [openai/​whisper-tiny](https://huggingface.co/openai/whisper-tiny)                                                               | [Audio Transcription](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/audio_transcribe)                                                            |
 | **--- VLM:**                                                                    |                                                                                                                                     |                                                                                                                                  |                                                                                                                                                                                            |
-| InternVLChatModel                                                               | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [OpenGVLab/​InternVL2-1B](https://huggingface.co/OpenGVLab/InternVL2-1B)                                                         | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| LlavaForConditionalGeneration                                                   | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [llava-hf/​llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf)                                                     | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| LlavaQwen2ForCausalLM                                                           | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [qnguyen3/​nanoLLaVA](https://huggingface.co/qnguyen3/nanoLLaVA)                                                                 | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| BunnyQwenForCausalLM                                                            | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [qnguyen3/​nanoLLaVA-1.5](https://huggingface.co/qnguyen3/nanoLLaVA-1.5)                                                         | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| LlavaNextForConditionalGeneration                                               | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [llava-hf/​llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf)                                   | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| LlavaNextVideoForConditionalGeneration                                          | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [llava-hf/​LLaVA-NeXT-Video-7B-hf](https://huggingface.co/llava-hf/LLaVA-NeXT-Video-7B-hf)                                       | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| MiniCPMO                                                                        | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [openbmb/​MiniCPM-o-2_6](https://huggingface.co/openbmb/MiniCPM-o-2_6)                                                           | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| MiniCPMV                                                                        | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [openbmb/​MiniCPM-V-2_6](https://huggingface.co/openbmb/MiniCPM-V-2_6)                                                           | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| Phi3VForCausalLM                                                                | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [microsoft/​Phi-3-vision-128k-instruct](https://huggingface.co/microsoft/Phi-3-vision-128k-instruct)                             | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| Phi4MMForCausalLM                                                               | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [microsoft/​Phi-4-multimodal-instruct](https://huggingface.co/microsoft/Phi-4-multimodal-instruct)                               | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| Qwen2VLForConditionalGeneration                                                 | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [Qwen/​Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct)                                                   | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| Qwen2_5_VLForConditionalGeneration                                              | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [Qwen/​Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct)                                               | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
-| Gemma3ForConditionalGeneration                                                  | [Optimum-Intel](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [google/​gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it)                                                             | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| InternVLChatModel                                                               | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [OpenGVLab/​InternVL2-1B](https://huggingface.co/OpenGVLab/InternVL2-1B)                                                         | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| LlavaForConditionalGeneration                                                   | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [llava-hf/​llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf)                                                     | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| LlavaQwen2ForCausalLM                                                           | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [qnguyen3/​nanoLLaVA](https://huggingface.co/qnguyen3/nanoLLaVA)                                                                 | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| BunnyQwenForCausalLM                                                            | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [qnguyen3/​nanoLLaVA-1.5](https://huggingface.co/qnguyen3/nanoLLaVA-1.5)                                                         | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| LlavaNextForConditionalGeneration                                               | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [llava-hf/​llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf)                                   | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| LlavaNextVideoForConditionalGeneration                                          | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [llava-hf/​LLaVA-NeXT-Video-7B-hf](https://huggingface.co/llava-hf/LLaVA-NeXT-Video-7B-hf)                                       | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| MiniCPMO                                                                        | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [openbmb/​MiniCPM-o-2_6](https://huggingface.co/openbmb/MiniCPM-o-2_6)                                                           | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| MiniCPMV                                                                        | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [openbmb/​MiniCPM-V-2_6](https://huggingface.co/openbmb/MiniCPM-V-2_6)                                                           | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| Phi3VForCausalLM                                                                | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [microsoft/​Phi-3-vision-128k-instruct](https://huggingface.co/microsoft/Phi-3-vision-128k-instruct)                             | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| Phi4MMForCausalLM                                                               | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [microsoft/​Phi-4-multimodal-instruct](https://huggingface.co/microsoft/Phi-4-multimodal-instruct)                               | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| Qwen2VLForConditionalGeneration                                                 | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [Qwen/​Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct)                                                   | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| Qwen2_5_VLForConditionalGeneration                                              | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [Qwen/​Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct)                                               | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
+| Gemma3ForConditionalGeneration                                                  | [Optimum-Intel](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/dev_guide/lvms.html)                       | [google/​gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it)                                                             | [Gvagenai Demo](https://github.com/open-edge-platform/dlstreamer/tree/main/samples/gstreamer/gst_launch/gvagenai)                                                                          |
 
 ## OMZ Models
 
diff --git a/samples/gstreamer/python/onvif_cameras_discovery/README.md b/samples/gstreamer/python/onvif_cameras_discovery/README.md
index f42db382..0a1123f8 100644
--- a/samples/gstreamer/python/onvif_cameras_discovery/README.md
+++ b/samples/gstreamer/python/onvif_cameras_discovery/README.md
@@ -1,4 +1,4 @@
-# ONVIF Camera Discovery Sample 
+# ONVIF Camera Discovery Sample
 
 ## Table of Contents
 1. [Overview](#overview)
@@ -82,14 +82,14 @@ sequenceDiagram
     Camera->>Network: ProbeMatch Response
     Network->>Utils: Parse XML response
     Utils->>Main: Return camera list [{'hostname': IP, 'port': PORT}]
-    
+
     loop For each discovered camera
         Main->>Camera: Create ONVIFCamera(hostname, port, user, pass)
         Main->>Utils: get_commandline_by_key(config.json, hostname)
         Utils->>Main: Return pipeline elements
         Main->>Camera: camera_profiles(camera_obj)
         Camera->>Main: Return profile list with RTSP URLs
-        
+
         loop For each profile
             Main->>Main: prepare_commandline(rtsp_url, pipeline_elements)
             Main->>GStreamer: run_single_streamer(command)
@@ -97,7 +97,7 @@ sequenceDiagram
             Main->>Main: Append to running_processes[]
         end
     end
-    
+
     Main->>User: "Press Ctrl+C to stop..."
     Main->>GStreamer: Wait for all processes
     User->>Main: Ctrl+C (KeyboardInterrupt)
@@ -225,8 +225,8 @@ Discovers ONVIF cameras on the local network using WS-Discovery multicast protoc
 **SOAP Probe Message:**
 ```xml
 <?xml version="1.0" encoding="UTF-8"?>
-<soap:Envelope xmlns:soap="http://www.w3.org/2003/05/soap-envelope" 
-               xmlns:wsa="http://schemas.xmlsoap.org/ws/2004/08/addressing" 
+<soap:Envelope xmlns:soap="http://www.w3.org/2003/05/soap-envelope"
+               xmlns:wsa="http://schemas.xmlsoap.org/ws/2004/08/addressing"
                xmlns:tns="http://schemas.xmlsoap.org/ws/2005/04/discovery">
     <soap:Header>
         <wsa:Action>http://schemas.xmlsoap.org/ws/2005/04/discovery/Probe</wsa:Action>
@@ -667,7 +667,7 @@ SPDX-License-Identifier: MIT
 - **ONVIF Specification**: https://www.onvif.org/specs/core/ONVIF-Core-Specification.pdf
 - **WS-Discovery**: http://docs.oasis-open.org/ws-dd/discovery/1.1/wsdd-discovery-1.1-spec.html
 - **GStreamer Documentation**: https://gstreamer.freedesktop.org/documentation/
-- **DL Streamer**: https://github.com/dlstreamer/dlstreamer
+- **DL Streamer**: https://github.com/open-edge-platform/dlstreamer
 - **onvif-zeep Library**: https://github.com/FalkTannhaeuser/python-onvif-zeep
 
 ---
diff --git a/samples/windows/gstreamer/README.md b/samples/windows/gstreamer/README.md
index b9ab5e4b..da219a96 100644
--- a/samples/windows/gstreamer/README.md
+++ b/samples/windows/gstreamer/README.md
@@ -6,8 +6,8 @@ Samples are simple applications that demonstrate how to use the Intel® DL Strea
 
 Samples separated into several categories
 1. gst_launch command-line samples (samples construct GStreamer pipeline via [gst-launch-1.0](https://gstreamer.freedesktop.org/documentation/tools/gst-launch.html) command-line utility)
-    * [Face Detection And Classification Sample](./gst_launch/face_detection_and_classification/README.md) - constructs object detection and classification pipeline example with [gvadetect](https://dlstreamer.github.io/elements/gvadetect.html) and [gvaclassify](https://dlstreamer.github.io/elements/gvaclassify.html) elements to detect faces and estimate age, gender, emotions and landmark points
-    * [Audio Event Detection Sample](./gst_launch/audio_detect/README.md) - constructs audio event detection pipeline example with [gvaaudiodetect](https://dlstreamer.github.io/elements/gvaaudiodetect.html) element and uses [gvametaconvert](https://dlstreamer.github.io/elements/gvametaconvert.html), [gvametapublish](https://dlstreamer.github.io/elements/gvametapublish.html) elements to convert audio event metadata with inference results into JSON format and to print on standard out
+    * [Face Detection And Classification Sample](./gst_launch/face_detection_and_classification/README.md) - constructs object detection and classification pipeline example with [gvadetect](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/elements/gvadetect.html) and [gvaclassify](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/elements/gvaclassify.html) elements to detect faces and estimate age, gender, emotions and landmark points
+    * [Audio Event Detection Sample](./gst_launch/audio_detect/README.md) - constructs audio event detection pipeline example with [gvaaudiodetect](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/elements/gvaaudiodetect.html) element and uses [gvametaconvert](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/elements/gvametaconvert.html), [gvametapublish](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer/elements/gvametapublish.html) elements to convert audio event metadata with inference results into JSON format and to print on standard out
     * [Detection with Yolo](./gst_launch/detection_with_yolo/README.md) - demonstrates how to use publicly available YOLO models for object detection with/without hardware acceleration
 2. Benchmark
     * [Benchmark Sample](./benchmark/README.md) - measures overall performance of single-channel or multi-channel video analytics pipelines