Object detection: an overview in the age of Deep Learning - Tryolabs Blog

One of the problems we're most interested in and have worked on a bunch is object detection. Like many other computer vision problems, there still isn't an obvious or even "best" way to approach the problem, meaning there's still much room for improvement. Before getting into object detection, let's do a quick rundown of the most common problems in the field. It consists of classifying an image into one of many different categories. One of the most popular datasets used in academia is ImageNet, composed of millions of classified images, (partially) utilized in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) annual competition.