COCO8-pose: 8-Image Pose Detection Subset for Model Testing

Ultralytics COCO8-pose is a small dataset composed of the first 8 images from the COCO train 2017 set, split into 4 training and 4 validation images. It is designed for testing and debugging object detection models or experimenting with new detection approaches. The dataset was created by Ultralytics and was last updated on 2025-08-03.

Use Cases

• Testing object detection training pipelines for errors based on the small, manageable image count.
• Debugging pose detection models using the 4-image validation split.
• Experimenting with new detection approaches on a dataset small enough for rapid iteration.
• Performing a sanity check before training larger models on the COCO dataset.

Strengths

• Contains 8 images, making it small enough for easy management.
• Includes 4 images for training and 4 for validation, providing a basic split for testing.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last updated 2025-08-03 17:51:59; freshness should be verified.

Provenance

Source

Ultralytics, derived from the COCO train 2017 dataset.

Collection Method

Subset composed of the first 8 images from the COCO train 2017 set.

Freshness

Last updated 2025-08-03 17:51:59.