RoyYang0714/3D-MOOD
3D-MOOD Dataset This dataset is for 3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection. It contains selected images and annotations from Argoverse 2 and ScanNetV2, and also the depth ground truth (GT) for Omni3D data. We provide the HDF5 data and annotation in JSON format. Paper: 3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Project Page: https://royyang0714.github.io/3D-MOOD Code: https://github.com/cvg/3D-MOOD Introduction… See the full description on the dataset page: https://huggingface.co/datasets/RoyYang0714/3D-MOOD.
| Author / organization | RoyYang0714 |
|---|---|
| Downloads | 598 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 22 August 2025 |
| Last updated at source | 8 September 2025 |
Popularity, last 3 days
598 now (+12 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.