COCO8 / README.md
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metadata
license: agpl-3.0
task_categories:
  - object-detection
language:
  - en
tags:
  - code
size_categories:
  - n<1K

Ultralytics COCO8 Dataset

Ultralytics COCO8 is a small, but versatile object detection dataset composed of the first 8 images of the COCO train 2017 set, 4 for training and 4 for validation. This dataset is ideal for testing and debugging object detection models, or for experimenting with new detection approaches. With 8 images, it is small enough to be easily manageable, yet diverse enough to test training pipelines for errors and act as a sanity check before training larger datasets.

This dataset is intended for use with Ultralytics YOLOv8.

Docs: https://docs.ultralytics.com

Community: https://community.ultralytics.com

GitHub: https://github.com/ultralytics/ultralytics