Dataset · Hugging Face

monica-sekoyan/TickTockVQA-segmented

Name: TickTockVQA-segmented
Creator: monica-sekoyan
License: other
Keywords: task_categories:visual-question-answering, task_categories:image-to-text, language:en, license:other, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, analog-clock, clock-reading

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.

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Author / organization	monica-sekoyan
License (as declared)	other
Downloads	183 (as reported by Hugging Face)
Likes	0
Created	7 July 2026
Last updated at source	1 August 2026

analog-clockclock-readingtime-tellingvision-language-modelsvisual-reasoning

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