Developed an instance segmentation model using Mask R-CNN to accurately identify and segment germinated seeds in high-resolution seed images.
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Jul 4, 2025 - Jupyter Notebook
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torchvision-transforms
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AI/ML Trained Image Recognition for Finnish trees in Python with Gradio Web Interface
python tree image recognition ai numpy scikit-learn ml torch python3 pytorch trees gradio opencv-python finnish resnet-18 torchvision torchvision-transforms
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Oct 29, 2024 - Python
This repository provides topics in PyTorch which is used for Deep Learning
python deep-learning pytorch mnist lenet datasets iris cifar10 stochastic-gradient-descent dataloaders conv2d one-hot-encoding mean-squared-error torchvision-transforms
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Oct 9, 2023 - Jupyter Notebook
Successfully developed an object detection model using Faster R-CNN to detect and localize wind turbines in aerial imagery, aiding in automated monitoring and infrastructure assessment.
computer-vision torch pytorch faster-rcnn convolutional-neural-networks object-detection region-of-interest roi-selection torchvision roi-extraction roi-pooling region-proposal-network torchvision-datasets torchvision-model torchvision-transforms feature-extraction-with-cnns
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Jul 4, 2025 - Jupyter Notebook
Successfully developed an object detection model using Faster R-CNN to detect vehicles and traffic-related objects in real-time road scenes, supporting smart traffic monitoring and surveillance applications.
computer-vision deep-learning torch pytorch faster-rcnn object-detection region-of-interest faster-rcnn-resnet roi-selection torchvision roi-extraction roi-pooling region-proposal-network faster-rcnn-pytorch traffic-detection torchvision-datasets torchvision-model torchvision-transforms
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Jul 4, 2025 - Jupyter Notebook
Successfully developed an instance segmentation model using Mask R-CNN to detect and segment brain tumors from MRI scans with pixel-level precision.
pytorch instance-segmentation mask-rcnn image-segmentation-pytorch torchvision-model torchvision-transforms
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Jul 4, 2025 - Jupyter Notebook
Successfully developed an object detection model using Faster R-CNN to detect and classify traffic signs in road images, enhancing autonomous driving and intelligent transportation systems.
computer-vision deep-learning torch pytorch faster-rcnn convolutional-neural-networks object-detection traffic-sign-detection roi-selection torchvision roi-extraction roi-pooling region-proposal-network torchvision-datasets torchvision-model torchvision-transforms feature-extraction-with-cnns
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Jul 4, 2025 - Jupyter Notebook
Successfully developed a wildlife detection model using Faster R-CNN to identify and localize animals in natural habitats, supporting conservation efforts and ecological research.
computer-vision deep-learning image-processing torch pytorch faster-rcnn convolutional-neural-networks object-detection pretrained-models faster-rcnn-resnet torchvision faster-rcnn-pytorch torchvision-datasets resnet50-fasterrcnn model-inference torchvision-model torchvision-transforms wildlife-detection
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Jul 4, 2025 - Jupyter Notebook
Successfully developed an object detection model using Faster R-CNN to detect safety helmets and ensure compliance at construction sites by accurately localizing helmets and personnel in real-time images.
computer-vision deep-learning pytorch faster-rcnn convolutional-neural-networks object-detection roi-selection torchvision roi-pooling region-proposal-network torchvision-model torchvision-transforms
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Jul 4, 2025 - Jupyter Notebook
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