Explainable YOLO: Making YOLOv5 interpretable via GradCAM
In this explanation, I’ll be discussing methods for achieving interpretability in YOLOv5, a popular object detection model. While there have been several attempts to make YOLOv5 interpretable, it’s worth noting that none of these methods are currently compatible with the latest version of the model. My work is the marriage between PyTorch-GradCAM and YOLOv5. GitHub - jacobgil/pytorch-grad-cam: Advanced AI Explainability for computer vision GitHub - ultralytics/yolov5: YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite Colab Demo To see how to use this module, maybe the best way is to use Colab tutorial I’ve provided here....