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Categorize dataset doc page into sections #5368
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💊 CI failures summary and remediationsAs of commit fed9ac0 (more details on the Dr. CI page):
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:toctree: generated/ | ||
:template: class_dataset.rst | ||
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CocoCaptions |
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I wasn't sure what to do with this one so I created a section just for it. There might be a better alternative?
:template: class_dataset.rst | ||
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CocoDetection | ||
CelebA |
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Some datasets here also appear in the Classification section:
- CelebA
- GTSRB
- OxfordIIITPet
Perhaps there are others that I missed?
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I think it is fine to have them in both categories, since they can be used for both tasks. Looking through list, nothing missing comes to mind.
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Thanks a lot @NicolasHug! LGTM if CI is green.
:template: class_dataset.rst | ||
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CocoDetection | ||
CelebA |
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I think it is fine to have them in both categories, since they can be used for both tasks. Looking through list, nothing missing comes to mind.
KMNIST | ||
LFWPeople | ||
LFWPairs | ||
LSUN |
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LSUN
Image Generation probably? This is how paperswithcode describes it as well. Also GANs are popular on this.
@@ -35,61 +37,105 @@ You can also create your own datasets using the provided :ref:`base classes <bas | |||
CelebA |
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CelebA is image generation too.
SEMEION | ||
Sintel | ||
SBU | ||
StanfordCars | ||
STL10 |
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I tihnk STL-10 is used for g unsupervised learning. Although it can be used for image classification too.
That's how the website describes it https://cs.stanford.edu/~acoates/stl10/
cc @NicolasHug and @pmeier I guess we need a category for image generation, not sure about STL though. |
Reviewed By: NicolasHug Differential Revision: D34140255 fbshipit-source-id: e171a94fbc24201aa10d7302035696df1955804a
Closes #5321
Largely based off @pmeier 's categorization in #5336
Rendered docs can be seen here: https://1171917-73328905-gh.circle-artifacts.com/0/docs/datasets.html