In this section, we will learn how to build a world-class object detection module without much use of traditional handcrafting techniques. Here, will be using the deep learning approach, which is powerful enough to extract features automatically from the raw image and then use those features for classification and detection purposes.
First, we will build an object detector using a pre-baked Python library that can use most of the state-of-the-art pre-trained models, and later on, we will learn how to implement a really fast and accurate object detector using YOLO architecture.
