Dataset · Hugging Face

hustvl/GSEval

Name: GSEval
Creator: hustvl
License: apache-2.0
Keywords: task_categories:image-segmentation, license:apache-2.0, size_categories:1K<n<10K, format:json, modality:image, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2503.10596, region:us

🚀 GSEval - A Comprehensive Grounding Evaluation Benchmark GSEval is a meticulously curated evaluation benchmark consisting of 3,800 images, designed to assess the performance of pixel-level and bounding box-level grounding models. It evaluates how well AI systems can understand and localize objects or regions in images based on natural language descriptions. 📊 Results 📊 Download GSEval git lfs install git clone… See the full description on the dataset page: https://huggingface.co/datasets/hustvl/GSEval.

View on Hugging FaceReport an issue

Author / organization	hustvl
License (as declared)	apache-2.0
Downloads	598 (as reported by Hugging Face)
Likes	4
Created	13 March 2025
Last updated at source	20 May 2025

Embed this entry

<iframe src="https://silytics.si/embed/item/be54c1d3-9ae0-4ae6-9270-56050f8295b1" 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

598 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from hustvl

hustvl/imagenet256-latents-vave-f16d32-dinov2Dataset

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 Information may be incomplete or out of date.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.