andropar/relaion2b-natural
LAION-Natural: Naturalness Scores for ReLAION-2B (CCN 2025, Roth & Hebart) LAION-Natural is a large-scale naturalness scoring dataset covering 2.1 billion images from ReLAION-2B-en-research-safe. Each image receives a score predicting how "natural" or "photographic" it looks versus artificial/rendered content. At the recommended threshold of 0.7, the dataset identifies ~500 million natural photographs suitable for vision research, cognitive science, and model training.… See the full description on the dataset page: https://huggingface.co/datasets/andropar/relaion2b-natural.
| Author / organization | andropar |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 7 July 2025 |
| Last updated at source | 9 April 2026 |
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- 16 Oct 2026 Description: LAION-Natural: Naturalness Scores for ReLAION-2B (CCN 2025, Roth & Hebart) LAION-Natural is a large-scale naturalness scoring dataset covering 2.1 billion images from ReLAION-2B-en-research-safe. Each image receives a score predicting how " → LAION-Natural: Naturalness Scores for ReLAION-2B (CCN 2025, Roth & Hebart) LAION-Natural is a large-scale naturalness scoring dataset covering 2.1 billion images from ReLAION-2B-en-research-safe. Each image receives a score predicting how "
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