galilai-group/shapes3d
Dataset Card for 3dshapes Dataset Description The 3dshapes dataset is a synthetic 3D object image dataset designed for benchmarking algorithms in disentangled representation learning and unsupervised representation learning. It was introduced in the FactorVAE paper [Kim & Mnih, ICML 2018], as one of the standard testbeds for learning interpretable and disentangled latent factors. The dataset consists of images of 3D procedurally generated scenes, where 6… See the full description on the dataset page: https://huggingface.co/datasets/galilai-group/shapes3d.
| Author / organization | galilai-group |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 164 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 8 June 2025 |
| Last updated at source | 8 June 2025 |
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164 now (+2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Card for 3dshapes Dataset Description The 3dshapes dataset is a synthetic 3D object image dataset designed for benchmarking algorithms in disentangled representation learning and unsupervised representation learning. It was introduc → Dataset Card for 3dshapes Dataset Description The 3dshapes dataset is a synthetic 3D object image dataset designed for benchmarking algorithms in disentangled representation learning and unsupervised representation learning. It was introduc
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