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Add https://youtu.be/uDrn9QZJ2lk and object_counting.py, ai_gym.py updates (#9265)

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Muhammad Rizwan Munawar 2024-03-24 22:22:17 +05:00 • committed by GitHub
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docs/en/datasets/detect/coco.md
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@ -8,6 +8,17 @@ keywords: Ultralytics, COCO dataset, object detection, YOLO, YOLO model training
The [COCO](https://cocodataset.org/#home) (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to encourage research on a wide variety of object categories and is commonly used for benchmarking computer vision models. It is an essential dataset for researchers and developers working on object detection, segmentation, and pose estimation tasks.
<p align="center">
<br>
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/uDrn9QZJ2lk"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>
</iframe>
<br>
<strong>Watch:</strong> Ultralytics COCO Dataset Overview
</p>
## Key Features
- COCO contains 330K images, with 200K images having annotations for object detection, segmentation, and captioning tasks.