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From images of cars in which their license plates have been labeled, and passing filters, their recognition is attempted by pytesseract . As there is not a single filter that works for all the licensess, it is tried with several filters and The license plate number that has been detected the most times is assigned.
Pyro AId is a computer vision project focused on detecting and analyzing fire-related events using YOLOv8. It predicts fires in videos, images, and live camera feeds.
Supermarket mobile app that captures a photo of a product and adds it to cart and then checkout online. This is the backend part which I have made using Flask.
Repository documenting YOLOv5 training on Gazebo-simulated marine markers, with detailed Jupyter notebooks and stored model weights for enhanced object detection.
A state-of-the-art object detection system, built on the YOLOv5 framework, is employed to individually recognize and monitor players, the ball, sideline referees, and the goalkeeper in real-time using a television broadcast camera feed. The Bytetrack technology is integrated to augment and refine the model's performance! ⚽