COCO Dataset Format - Complete Walkthrough

A detailed walkthrough of the COCO Dataset JSON Format, specifically for object detection (instance segmentations). 👇CORRECTION BELOW👇 For more detail, including info about keypoints, captions, etc., check out: The course is live! You can get a deal on the course and support me with this coupon: 👉CORRECTION: In the RLE section, I say that counts run horizontally across the image. They actually run vertically. You start at the top left pixel and count down a number of pixels and it may carry to the next column. Exact same concept, just flip the axes. Sorry about that! Here’s the JSON file shown in the video: Table of Contents: 0:00 - Intro 2:09 - High Level JSON Sections 2:28 - “Info“ 3:19 - “Licenses“ 4:27 - “Images“ 6:37 - “Categories“ 7:47 - “Annotations“ 8:18 - “Segmentation“ (Polygons) 11:27 - “Segmentation“ (RLE - Run Length Encoding) 17:10 - Exciting Course Announcement Follow These For Updates Immersive Limit Facebook: Immersive Limit Twitter: Subscribe to the YouTube channel too, duh! Connect with Me! My Twitter: My LinkedIn: More Ways to Connect