Dataset · Hugging Face

K-Hooshanfar/OpenVAM

Name: OpenVAM
Creator: K-Hooshanfar
Keywords: task_categories:image-to-text, language:en, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2609.31364, region:us, computer-vision, visual-attention, saliency-prediction, visual-grounding

OpenVAM: Open-World Visual Attention Modeling with VLMs OpenVAM goes beyond predicting where people look in an image by also explaining what attracts their attention and why, using natural language. This repository provides visual attention explanations for six datasets covering natural scenes, advertisements, and web/UI layouts. Paper: OpenVAM: Open-World Visual Attention Modeling with VLMs Code: GitHub Important: This Hugging Face repository provides JSONL annotations and… See the full description on the dataset page: https://huggingface.co/datasets/K-Hooshanfar/OpenVAM.

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Author / organization	K-Hooshanfar
Downloads	137 (as reported by Hugging Face)
Likes	0
Created	8 October 2026
Last updated at source	8 October 2026

computer-visionvisual-attentionsaliency-predictionvisual-groundingvision-languageexplainable-aimultimodalhuman-computer-interaction

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OpenVAM: Open-World Visual Attention Modeling with VLMsPaper · cites

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OpenVAM: Open-World Visual Attention Modeling with VLMsPaper

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