Panorama-grounding/PanoCaps
PanoCaps: A Human-Annotated Benchmark for Panoptic Grounded Captioning PanoCaps is a benchmark for panoptic grounded captioning: a model writes a full-scene caption and grounds every mentioned entity, things and stuff alike, to pixel-level masks. It contains 3,470 images and 34K panoptic regions, averaging ~9 grounded entities per image, with >99% of regions grounded. Captions are human-written and verified, cover the entire visible scene, use open-vocabulary… See the full description on the dataset page: https://huggingface.co/datasets/Panorama-grounding/PanoCaps.
| Author / organization | Panorama-grounding |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 336 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 2 December 2025 |
| Last updated at source | 17 September 2026 |
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