cerebras.modelzoo.data.vision.classification.data.patch_camelyon.PatchCamelyon#
- class cerebras.modelzoo.data.vision.classification.data.patch_camelyon.PatchCamelyon(*args, **kwargs)[source]#
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