CoolFace
Datasetpublic

monica-sekoyan/TickTockVQA-segmented

TickTockVQA Segmented (SAM3 crops) Real world analog clock images from jaeha-choi/TickTockVQA, each cropped to the clock face by a SAM3 segmentation pass, packaged for grounded visual reasoning experiments with vision language models. Every image is paired with a single fixed instruction and a ground truth time label. All answers are in H:MM format: this corpus contains no second hand, so it exercises real world hour and minute reading only and carries no H:MM:SS signal.… See the full description on the dataset page: https://huggingface.co/datasets/monica-sekoyan/TickTockVQA-segmented.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
0likes197downloads
discussions and pull requests

Conversations for this repository live on Hugging Face.

CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.

Open discussions on Hugging Face
monica-sekoyan/TickTockVQA-segmented · CoolFace