lei-qi-233/EgoGears
EgoGears: Egocentric Gaits, Environments, and Ambient Real-world Scenarios EgoGears is a first-person outdoor video-understanding benchmark built from human-collected recordings across multiple routes, covering high-dynamic movement at three speeds—slow walking, fast walking, and running—and under two lighting conditions, daytime and nighttime. Its QA pairs cover both single-video understanding and cross-video reasoning, measuring local visual and spatial evidence as well as… See the full description on the dataset page: https://huggingface.co/datasets/lei-qi-233/EgoGears.
| Author / organization | lei-qi-233 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 480 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 28 September 2026 |
| Last updated at source | 2 October 2026 |
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