Jayant-Sravan/HueManity
HueManity: A Benchmark for Testing Human-Like Visual Perception in MLLMs Paper | Code Dataset Description HueManity is a benchmark dataset featuring 83,850 images designed to test the fine-grained visual perception of Multimodal Large Language Models (MLLMs). Each image presents a two-character alphanumeric string embedded within Ishihara-style dot patterns, challenging models to perform precise pattern recognition in visually cluttered environments. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/Jayant-Sravan/HueManity.
| Author / organization | Jayant-Sravan |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 308 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 19 May 2025 |
| Last updated at source | 15 September 2025 |
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308 now (+15 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: HueManity: A Benchmark for Testing Human-Like Visual Perception in MLLMs Paper | Code Dataset Description HueManity is a benchmark dataset featuring 83,850 images designed to test the fine-grained visual perception of Multimodal Large Langu → HueManity: A Benchmark for Testing Human-Like Visual Perception in MLLMs Paper | Code Dataset Description HueManity is a benchmark dataset featuring 83,850 images designed to test the fine-grained visual perception of Multimodal Large Langu
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