Computer vision project developed for NASTP (National Aerospace Science and Technology Park) as an industry-oriented project. I built a Python and OpenCV pipeline that uses a YOLO deep learning model to detect and classify vehicles on the road, [apna maqsad likhein, jaise “for traffic monitoring and analysis”]. The demo shown here runs on a public dashcam frame, where it detected both cars with 98% and 96% confidence.

which yolo version did you end up using?