galilai-group/small-norb
Dataset Card for SmallNORB Dataset Description The SmallNORB dataset is a real-world stereo image dataset designed for benchmarking algorithms in disentangled representation learning and unsupervised representation learning. It was introduced by LeCun et al. (2004) for evaluating generic object recognition with invariance to pose and lighting. Unlike synthetic datasets such as dSprites or MPI3D, which are generated as a complete Cartesian product of factors (i.e.… See the full description on the dataset page: https://huggingface.co/datasets/galilai-group/small-norb.
| Author / organization | galilai-group |
|---|---|
| License (as declared) | other |
| Downloads | 229 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 7 June 2025 |
| Last updated at source | 5 January 2026 |
Popularity, last 3 days
229 now (+68 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Card for SmallNORB Dataset Description The SmallNORB dataset is a real-world stereo image dataset designed for benchmarking algorithms in disentangled representation learning and unsupervised representation learning. It was introduc → Dataset Card for SmallNORB Dataset Description The SmallNORB dataset is a real-world stereo image dataset designed for benchmarking algorithms in disentangled representation learning and unsupervised representation learning. It was introduc
Changes detected by Silytics between refreshes of the source.
More from galilai-group
- galilai-group/lewm-pushtDataset
- galilai-group/medmnistDataset
- galilai-group/ogb_cube_singleDataset
- galilai-group/INRIA-holidaysDataset
- galilai-group/medianomalyDataset
- galilai-group/shapes3dDataset
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 Information may be incomplete or out of date.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.