geshang/Pix2Cap-COCO
Pix2Cap-COCO Dataset Description Pix2Cap-COCO is the first pixel-level captioning dataset derived from the panoptic COCO 2017 dataset, designed to provide more precise visual descriptions than traditional region-level captioning datasets. It consists of 20,550 images, partitioned into a training set (18,212 images) and a validation set (2,338 images), mirroring the original COCO split. The dataset includes 167,254 detailed pixel-level captions, each… See the full description on the dataset page: https://huggingface.co/datasets/geshang/Pix2Cap-COCO.
| Author / organization | geshang |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 165 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 December 2024 |
| Last updated at source | 24 January 2025 |
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- 16 Oct 2026 Description: Pix2Cap-COCO Dataset Description Pix2Cap-COCO is the first pixel-level captioning dataset derived from the panoptic COCO 2017 dataset, designed to provide more precise visual descriptions than traditional region-level captioning datasets. I → Pix2Cap-COCO Dataset Description Pix2Cap-COCO is the first pixel-level captioning dataset derived from the panoptic COCO 2017 dataset, designed to provide more precise visual descriptions than traditional region-level captioning datasets. I
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