kyh9191/Safe-LLaVA
π Safe-LLaVA: A Privacy-Preserving Vision-Language Dataset Safe-LLaVA is a privacy-enhanced version of the original LLaVA dataset, developed to systematically remove sensitive biometric attributes such as gender, race, age, eye color, and body weight. This dataset is designed for privacy-safe pretraining, instruction tuning, and benchmarking Vision-Language Models (VLMs) under biometric privacy constraints. π Dataset Summary Name: Safe-LLaVA Source: Derivedβ¦ See the full description on the dataset page: https://huggingface.co/datasets/kyh9191/Safe-LLaVA.
| Author / organization | kyh9191 |
|---|---|
| License (as declared) | bigscience-openrail-m |
| Downloads | 154 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 4 May 2025 |
| Last updated at source | 6 April 2026 |
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Recent changes
- 17 Oct 2026 Description: π Safe-LLaVA: A Privacy-Preserving Vision-Language Dataset Safe-LLaVA is a privacy-enhanced version of the original LLaVA dataset, developed to systematically remove sensitive biometric attributes such as gender, race, age, eye color, and β π Safe-LLaVA: A Privacy-Preserving Vision-Language Dataset Safe-LLaVA is a privacy-enhanced version of the original LLaVA dataset, developed to systematically remove sensitive biometric attributes such as gender, race, age, eye color, and
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.