torchvision
PyTorch Foundationgithub.com/pytorch/vision
image and video datasets and models for torch deep learning
Updated 5 h ago · first seen 11 Sept 2026
lib_01M29ABDGQH53MX6BFDMKSN5F3
- Version
- 0.29.0
- T2 · 5 h ago
- Released
- 2 Sept 2026
- T2 · 5 h ago
- License
- BSD
- T2 · 5 h ago
Specification
- License
- BSD
Source:PyPI public package metadataT2observed 5 h agomedium
- Repository
Source:PyPI public package metadataT2observed 5 h agomedium
- Author
- PyTorch Core Team
Source:PyPI public package metadataT2observed 5 h agomedium
- Homepage
- https://github.com/pytorch/vision
Source:PyPI public package metadataT2observed 5 h agomedium
- Latest release
- 2 Sept 2026
Source:PyPI public package metadataT2observed 5 h agomedium
- Latest version
- 0.29.0
Source:PyPI public package metadataT2observed 5 h agomedium
- Releases
- 61
Source:PyPI public package metadataT2observed 5 h agomedium
- PyPI
- torchvision
Source:PyPI public package metadataT2observed 5 h agomedium
- Pypi license
- BSD
Source:PyPI public package metadataT2observed 5 h agomedium
- Pypi release at
- 2 Sept 2026
Source:PyPI public package metadataT2observed 5 h agomedium
- Pypi url
- https://pypi.org/project/torchvision/
Source:PyPI public package metadataT2observed 5 h agomedium
- Pypi version
- 0.29.0
Source:PyPI public package metadataT2observed 5 h agomedium
- Requires python
- !=3.14.1,>=3.10
Source:PyPI public package metadataT2observed 5 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
14
Source tiers
T214
Freshest observation
5 h ago
Conflicts
None
- Developed by
- PyTorch Foundation
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Pypi url
Pypi urlpypi_url1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| https://pypi.org/project/torchvision/ | → current | current | PyPI public package metadataT2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| PyPI public package metadata | pypi.org/pypi/torchvision/json | package | T2· Quality secondary | 5 h ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.