Chapter 9. Building a Real-Time Object Recognition App

In this chapter, we will build an application that can detect objects. This application will help us recognize the object present in an image or a video feed. We will be using real-time input, such as a live video stream from our webcam, and our real-time object detection application will detect the objects present in the video stream. We will be using a live video stream, which is the main reason why this kind of object detection is called Real-Time Object Detection. In this chapter, we will be using the Transfer Learning methodology to build Real-Time Object Detection. I will explain Transfer Learning in detail during the course of the chapter.

In this chapter, we will cover the following topics:

• Introducing the problem statement

• Understanding the dataset

• Transfer Learning

• Setting up the coding environment

• Features engineering for the baseline model

• Selecting the Machine Learning (ML) algorithm

• Building the baseline model

• Understanding the...