Machine Learning Robot Detection

Improved metrics logging and added early stopping. Added robot vs reid project differentiation.

Developed a CLI for easier training and testing for robot detection and re-identification models. Integrated W&B for hyperparameter tuning, and automated sweeps.

Updated configurations for training and tracking

I trained a new model with more epochs and a large YOLO model then tested it on both tracking systems

Trained a YOLO model for robot detection using labels from roboflow. Then tested different tracking methods (bytetrack, botsort).