umd-zhou-lab/ColorBench

🎨 ColorBench 📖 Paper | 💻 GitHub ColorBench is a multimodal dataset to comprehensively assess capabilities of VLMs in color understanding, including color perception, reasoning, and robustness, introduced in "ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness". It provides: More than 5,800 image-text questions covering diverse application scenarios and practical challenges for VLMs evaluation. 3… See the full description on the dataset page: https://huggingface.co/datasets/umd-zhou-lab/ColorBench.

<iframe src="https://silytics.si/embed/item/82c84d2c-6667-4a39-960d-6aadc4823234" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

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 Information may be incomplete or out of date.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.