Computer Vision — Object Detection Task

Object detection is an advanced version of object localization, involving identifying multiple objects and drawing bounding boxes around them. There are two types of models: two-stage models, which are outdated, and single-stage models, which are faster and easier to train. To solve the issue of predicting a fixed number of bounding boxes irrespective of actual objects, researchers developed techniques such as the Hungarian Matching Algorithm and various versions of the YOLO model. The post discusses the progression and implementation of these methods.