This project uses YOLOv5, a state-of-the-art object detection model, to detect smoking in real-time video streams. The model is trained on a custom dataset, which is annotated to identify instances of smoking. The project also utilizes OpenCV, an open-source computer vision library, to process video frames and display the detected smoking instan…
☆10Jan 29, 2023Updated 3 years ago
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