taegyoun88/egoxtreme
EgoXtreme: A Dataset for Robust Object Pose Estimation in Egocentric Views under Extreme Conditions π Dataset Information EgoXtreme is a novel large-scale dataset designed for robust egocentric 6D object pose estimation under extreme environmental conditions. The dataset comprises approximately 1.3 million frames with a total duration of 775.5 minutes (~12.9 hours). It was captured at 30 fps using Aria glasses, providing high-resolution 1408 x 1408 rawβ¦ See the full description on the dataset page: https://huggingface.co/datasets/taegyoun88/egoxtreme.
| Author / organization | taegyoun88 |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 1.9K (as reported by Hugging Face) |
| Likes | 4 |
| Created | 18 March 2026 |
| Last updated at source | 6 April 2026 |
Popularity, last 4 days
1,896 now (+341 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Recent changes
- 17 Oct 2026 Description: EgoXtreme: A Dataset for Robust Object Pose Estimation in Egocentric Views under Extreme Conditions π Dataset Information EgoXtreme is a novel large-scale dataset designed for robust egocentric 6D object pose estimation under extreme envir β EgoXtreme: A Dataset for Robust Object Pose Estimation in Egocentric Views under Extreme Conditions π Dataset Information EgoXtreme is a novel large-scale dataset designed for robust egocentric 6D object pose estimation under extreme envir
Changes detected by Silytics between refreshes of the source.
Related papers
More from taegyoun88
- taegyoun88/egoxtreme-testDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.