inclusionAI/ZoomBench

ZoomBench: A Fine-Grained Multimodal Perception Benchmark 📃 Paper | 🏠 Project | 🤗 Models Overview ZoomBench is a challenging benchmark designed to evaluate the fine-grained multimodal perception capabilities of Multimodal Large Language Models (MLLMs). It specifically targets scenarios where decisive visual evidence is small, subtle, or easily overwhelmed by global context — situations that demand "zooming-level" perception from a single full image. It is… See the full description on the dataset page: https://huggingface.co/datasets/inclusionAI/ZoomBench.

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