What is object detection? - Python Tutorial

- [Narrator] Object detection is the task of identifying and locating multiple objects within an image, by predicting both their class labels and bounding boxes. Unlike image classification, which assigns a single label to an entire image, object detection provides spatial information about where each object appears in an image. For example, given an image containing a dog and a cat, an object detection model would label and draw a bounding box around the dog and another around the cat. Each class label would also include a confidence score. Well-known, real world examples of object detection include "Detecting faces in smartphone cameras for auto focus and facial recognition", "Identifying pedestrians and vehicles in traffic surveillance footage", and "Monitoring wildlife by detecting animals in images or videos, captured by camera traps". When it comes to up object detection with CNNs, there are two main families of approaches. The first involves a use of what are known as…