Object Detection

Object detection is a technique that's used for locating and identifying instances of objects in images or videos. Object detection is popular in applications such as self-driving cars, pedestrian detection, object tracking, and many more. Generally, object detection comprises two steps: first, object localization, to locate an object in an image; and second, object classification, which classifies the located object in the appropriate category. There are many algorithms for object detection, but we will discuss one of the more widely used algorithms, called Single Shot Detector (SSD). Later, we will also implement object detection models using classical algorithms such as the Haar Cascade and LBPH algorithms.

Single Shot Detector

Single Shot Detector (SSD) is a state-of-the-art real-time object detection algorithm that provides much better speeds compared to the Faster-Regional Convolutional Neural Network (RCNN) algorithm (another popular object detection...