Object Detection and Region-Based Counting with Supervision Library and YOLO Algorithm

With the support of a supervision library, we can effortlessly detect and count objects based on their respective regions or zones. The YOLO algorithm assists in detecting and classifying objects, but when combined with the supervision library, we can accurately specify the precise object region or zone as well.

I have developed a code utilizing the supervision library and YOLO. With this implementation, detecting and counting individuals within specific regions becomes effortless. Consequently, we can generate alerts for restricted areas, ensuring compliance with regulations.

The combination of a supervision library and the YOLO algorithm provides a powerful solution for object detection and region-based counting. By leveraging the supervision library's capabilities, we can accurately identify and count objects within specific regions or zones. This is particularly useful for tasks such as detecting and counting individuals. With the developed code, it becomes effortless to generate alerts for restricted areas, ensuring compliance with regulations. The integration of the supervision library and YOLO algorithm offers a comprehensive solution for effective object analysis and monitoring.

https://github.com/sankalpvarshney/Detect-and-count-objects-in-polygon-zone

https://user-images.githubusercontent.com/41926323/237177083-0ccf1c8f-d1a1-4935-ba19-f349dca88a82.mp4