Dataset · Hugging Face

act13/AVA-Bench

Name: AVA-Bench
Creator: act13
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, task_categories:image-classification, task_categories:image-to-text, language:en, license:cc-by-4.0, size_categories:100K<n<1M, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2506.09082, region:us

AVA-Bench Training dataset for the paper AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models (arXiv:2506.09082) accepted in CVPR 2026. AVA-Bench is a diagnostic benchmark for evaluating Vision Foundation Models (VFMs) through Atomic Visual Abilities (AVAs): fundamental perceptual skills such as localization, counting, OCR, spatial understanding, depth estimation, color recognition, texture recognition, and fine-grained recognition. AVA-Bench disentangls visual… See the full description on the dataset page: https://huggingface.co/datasets/act13/AVA-Bench.

View on Hugging FaceReport an issue

Author / organization	act13
License (as declared)	cc-by-4.0
Downloads	139 (as reported by Hugging Face)
Likes	0
Created	26 May 2026
Last updated at source	26 May 2026

multimodalvision-languagebenchmarkinstruction-tuning

Embed this entry

<iframe src="https://silytics.si/embed/item/d7e65fe2-9fb3-4475-bb89-77e6db8aab96" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from act13

act13/read_the_objectDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.