Sign inGet started
Dataset · Hugging Face

Kelly0510/FitAQA

FitAQA A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models FitAQA is a systematic benchmark for evaluating multimodal large language models (MLLMs) on fitness action quality assessment. It tests whether a model can recognize quality-relevant visual evidence, judge exercise execution, and localize form errors over time. This repository contains annotations and metadata only. Videos are not redistributed. Users must obtain… See the full description on the dataset page: https://huggingface.co/datasets/Kelly0510/FitAQA.

Author / organizationKelly0510
License (as declared)apache-2.0
Downloads604 (as reported by Hugging Face)
Likes3
Created17 September 2026
Last updated at source22 September 2026
videofitnessaction-quality-assessmentmultiple-choicetemporal-groundingmultimodal
Embed this entry
<iframe src="https://silytics.si/embed/item/b92bc328-b3bb-476c-a3b8-62349b86d04c" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

604 now (-22 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.