grow-ai-like-a-child/perceptual-constancy
Perceptual Constancy Perceptual Constancy is a multimodal benchmark designed to evaluate high-level perceptual invariance in large vision-language models (VLMs). It probes a model’s understanding of physical and geometric stability under varying sensory appearances. This dataset is part of the Grow AI Like a Child benchmark initiative. 🧠 Dataset Overview The Perceptual Constancy dataset focuses on appearance-invariant reasoning using both static images and short… See the full description on the dataset page: https://huggingface.co/datasets/grow-ai-like-a-child/perceptual-constancy.
| Author / organization | grow-ai-like-a-child |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 154 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 April 2025 |
| Last updated at source | 18 April 2025 |
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