Context

YOLO ("you only look once") is a popular algoritm because it achieves high accuracy while also being able to run in real-time, almost clocking 45 frames per second. A smaller version of the network, Fast YOLO, processes an astounding 155 frames per second while still achieving double the mAP of other real-time detectors. This algorithm "only looks once" at the image in the sense that it requires only one forward propagation pass through the network to make predictions. After non-max suppression, it then outputs recognized objects together with the bounding boxes.

Content

The dataset contains media of cars in all views, and your job is to create an algorithm to detect them!

Acknowledgements

I got this dataset from TJHSST from one of the competitions they hosted.