yolov5

Population density tracker using Computer Vision.

Train YOLOv5 for breed classification on Oxford Pets III dataset from scratch on Google Colab, and serve through Dockerized implementation of a flask-based HTML/JS frontend and an asynchronous API service on FastAPI. Use of MLFlow for logging.

The main idea of this project is to detect vehicles using Yolov5 and a pre-trained network