Ultralytics/COCO8
COCO8 Dataset Introduction 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… See the full description on the dataset page: https://huggingface.co/datasets/Ultralytics/COCO8.
| Author / organization | Ultralytics |
|---|---|
| License (as declared) | agpl-3.0 |
| Downloads | 486 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 16 September 2024 |
| Last updated at source | 14 November 2024 |
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