module documentation
FiftyOne Zoo Datasets provided by torchvision:torchvision.datasets
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Class |
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The CIFAR-100 dataset of images. |
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The CIFAR-10 dataset consists of 60,000 32 x 32 color images in 10 classes, with 6,000 images per class. There are 50,000 training images and 10,000 test images. |
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The Fashion-MNIST database of Zalando's fashion article images. |
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The ImageNet 2012 dataset. |
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The MNIST database of handwritten digits. |
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Base class for zoo datasets that are provided via the torchvision:torchvision.datasets package. |
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The dataset for the PASCAL Visual Object Classes Challenge 2007 (VOC2007) for the classification and detection competitions. |
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The dataset for the PASCAL Visual Object Classes Challenge 2012 (VOC2012) for the Classification and Detection competitions. |
Constant | AVAILABLE |
Undocumented |
Variable | torchvision |
Undocumented |
Class | _ |
Undocumented |
Function | _download |
Undocumented |
Function | _parse |
Undocumented |
Function | _parse |
Undocumented |
Function | _parse |
Undocumented |
Constant | _TORCH |
Undocumented |
Variable | _callback |
Undocumented |
Undocumented
Value |
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def _download_and_prepare(dataset_dir, scratch_dir, download_fcn, get_classes_fcn, sample_parser):
(source)
¶
Undocumented