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:
http://www.immersivelimit.com/tutorials/create-coco-annotations-from-scratch
The course is live! You can get a deal on the course and support me with this coupon: https://www.immersivelimit.com/course/creating-coco-datasets
👉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: https://gist.github.com/akTwelve/c7039506130be7c0ad340e9e862b78d9
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
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