cerebras.modelzoo.data.vision.classification.data.patch_camelyon.PatchCamelyon

class cerebras.modelzoo.data.vision.classification.data.patch_camelyon.PatchCamelyon

Bases: torchvision.datasets.vision.VisionDataset

The PatchCamelyon benchmark is a new and challenging image classification dataset. It consists of 327.680 color images (96 x 96px) extracted from histopathologic scans of lymph node sections. Each image is annoted with a binary label indicating presence of metastatic tissue. PCam provides a new benchmark for machine learning models: bigger than CIFAR10, smaller than Imagenet, trainable on a single GPU.

Methods

__init__(root, split='train', transform=None, target_transform=None)

__call__(*args: Any, **kwargs: Any) → Any

Call self as a function.

static __new__(cls, *args: Any, **kwargs: Any) → Any

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