1aurent/SUN397
Scene UNderstanding 397 — SUN397 Description Scene categorization is a fundamental problem in computer vision. However, scene understanding research has been constrained by the limited scope of currently-used databases which do not capture the full variety of scene categories. Whereas standard databases for object categorization contain hundreds of different classes of objects, the largest available dataset of scene categories contains only 15 classes. In this… See the full description on the dataset page: https://huggingface.co/datasets/1aurent/SUN397.
| Author / organization | 1aurent |
|---|---|
| Downloads | 4.5K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 20 May 2024 |
| Last updated at source | 20 May 2024 |
Popularity, last 2 days
4,457 now (-21 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Scene UNderstanding 397 — SUN397 Description Scene categorization is a fundamental problem in computer vision. However, scene understanding research has been constrained by the limited scope of currently-used databases which do not capture → Scene UNderstanding 397 — SUN397 Description Scene categorization is a fundamental problem in computer vision. However, scene understanding research has been constrained by the limited scope of currently-used databases which do not capture
Changes detected by Silytics between refreshes of the source.
More from 1aurent
- 1aurent/unsplash-liteDataset
- 1aurent/NCT-CRC-HEDataset
- 1aurent/PatchCamelyonDataset
- 1aurent/BACHDataset
- 1aurent/PovertyMapDataset
- 1aurent/ADE20KDataset
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 Information may be incomplete or out of date.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.