¶ Object Detection Codelab
Ever wondered how self-checkout kiosks can automatically recognize items? Object detection plays a crucial role here, identifying products as customers place them in view. This technology speeds up checkout, reduces the need for human intervention, and provides a seamless shopping experience.
This codelab will give you a high-level understanding and hands-on experience with object detection. By the end, you'll have the skills to start solving real-world problems, whether it's developing a self-checkout system, smart surveillance system, or even building intelligent transportation solutions.
¶ Section 1: Fundamentals
This is the first section which focuses on the fundamentals.
You will understand what exactly is object detection, the basic terminologies used, the existing top-notch models used by researchers, and where they are used.
¶ Section 2: Getting started
Learn how to do the initial setup. Complex Object detection tasks can be computationally expensive (well, kudos to you if you can optimize it). Learn how to set up an environment to get started.
This is standard practice followed by all members of the industry.
¶ Section 3: Building your First Object Detector
Implement a basic object detector using YOLO in Google Colab.
¶ Section 4: First Complex Project
Now that you know how to train and test your YOLO model, let's move on to real-world applications of it. We'll be deploying YOLO on a live webcam to detect objects in <1ms.
¶ Section 5: Another Complex Project on R-CNN
There's life beyond YOLO... so kids don't get stuck there. In this section, we'll explore an advanced, accurate (but not so fast) object detection model and try to implement that from scratch using PyTorch.
¶ Section 6: Learning Never Ends – Your Journey Beyond This Guide
Learning never stops! Explore advanced topics, discover top resources, and join coding communities to take your skills beyond this guide. Start your self-learning journey now!
¶ Credits
This content is written by Chandradithya Sharma and Siddharth Verma.
This content is verified by Siddharth Verma.
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