Training Object Detection (YOLOv2) from scratch using Cyclic Learning Rates

Object detection is the task of identifying all objects in an image along with their class label and bounding boxes. It is a challenging computer vision task which has lately been taken over by deep learning algorithms like Faster-RCNN, SSD, Yolo. This post focuses on the latest Yolo v2 algorithm which is said to be fastest (approx 90 FPS on low res images when run on Titan X) and accurate than SS