snowball521/

Rea2Seg-16K

Rea2Seg-16K is a high-quality, large-scale training dataset for reasoning segmentation, with detailed chain-of-thought annotations.

train: 16090 rows

gqa-seg: 7998 rows lisa-plus: 7052 rows spatial: 801 rows reasonseg: 239 rows

Each row contains:

image: source image question: referring question cot_answer: chain-of-thought answer mask: COCO RLE mask serialized as a JSON string category: source… See the full description on the dataset page: https://huggingface.co/datasets/snowball521/Rea2Seg-16K.