A collection of scripts to download data, train and evaluate an image classifier on Open Images using TensorFlow
YOLOv8 object detection, images downloaded from open images v7. The model was trained on 'Horse Images' and then tested on a video of horses.
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
Cordova Plugin to preview any file in native mode by providing the local or external URL
object detection with tensorflow-keras based on Open-Image
Includes the YOLO-weight files to detect dolpins
Open-Images-V6
A code snippet to download open images for training
👩🔧 Convert OpenImages format to TensorFlow-friendly format (converting to VOC with sturcture improvements ✨)
downloader for OpenImage dataset
Neural network to predict eye gaze location from front-facing camera
How to train YoloV3 on Open Images V4
Download specific objects from Open-Images Dataset
Add a description, image, and links to the open-images topic page so that developers can more easily learn about it.
To associate your repository with the open-images topic, visit your repo's landing page and select "manage topics."