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Add UnlabeledImageDataset - #9645

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Closes #9050

Adds UnlabeledImageDataset: a generic loader for unlabeled images discovered via glob patterns, for unsupervised/self-supervised use where there's no per-class folder layout. getitem returns just the image, not a (sample, target) tuple.

  • Default patterns match all IMG_EXTENSIONS recursively, in both lower- and upper-case (so discovery is consistent on case-sensitive filesystems), deduped and sorted.
  • self.samples stores str paths, matching ImageFolder.
  • Tests cover default/custom patterns, uppercase discovery, sort/uniqueness, the bare-image return, transforms, custom loader, pathlib root, and the not-found cases.

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pytorch-bot Bot commented Sep 4, 2026

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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/9645

Note: Links to docs will display an error until the docs builds have been completed.

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Author

Gentle Ping @NicolasHug 🙂

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Add Unlabeled Image Dataset for Unsupervised Training

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