| license: agpl-3.0 | |
| language: | |
| - en | |
| tags: | |
| - ultralytics | |
| - people | |
| - Research-and-development | |
| pretty_name: coco8-pose | |
| size_categories: | |
| - n<1K | |
| # Ultralytics COCO8-pose Dataset | |
| Ultralytics COCO8-pose is a small, but versatile pose 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 |