Elm: From Documents to Traffic Enforcement: Applying object detection framework with YOLOV5/PyTorch
Sponsor Event
Go to NumFOCUS Academy page
You Only Look Once (YOLO) is one of the most frequently used and popular algorithms for AI scientists and engineers working on various object detection problems. This demo explains a complete, end-to-end dockerized object detection pipeline presenting the data extraction, annotation, training, modeling, and testing stages for two real-world computer vision problems. The first part of the demo presents a Flask-based project detailing the development of a landmark/object detection algorithm for document verification. The second part then presents a different use-case covering the traffic enforcement domain where a double-parking detection application is explained and demonstrated.