Clarifiedfish/AEGIS
🎬 AEGIS AEGIS (Authenticity Evaluation on Generated vIdeo Samples) is a challenging benchmark that rigorously evaluates multimodal models’ capability in AI-generated video detection and reasoning. This page hosts the AEGIS Hard Test Set, a carefully curated subset designed to stress-test model robustness under realistic, deceptive scenarios. For complete access to the full dataset including raw videos, features, and training splits, please refer to AEGIS-Full.… See the full description on the dataset page: https://huggingface.co/datasets/Clarifiedfish/AEGIS.
| Author / organization | Clarifiedfish |
|---|---|
| Downloads | 222 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 30 May 2025 |
| Last updated at source | 31 May 2025 |
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222 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: 🎬 AEGIS AEGIS (Authenticity Evaluation on Generated vIdeo Samples) is a challenging benchmark that rigorously evaluates multimodal models’ capability in AI-generated video detection and reasoning. This page hosts the AEGIS Hard Test Set, a → 🎬 AEGIS AEGIS (Authenticity Evaluation on Generated vIdeo Samples) is a challenging benchmark that rigorously evaluates multimodal models’ capability in AI-generated video detection and reasoning. This page hosts the AEGIS Hard Test Set, a
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More from Clarifiedfish
- Clarifiedfish/AEGIS-FullDataset
- Clarifiedfish/AEGIS-baselineDataset
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