Omkar2118/datasets huggingface dataset:
PCam
Full name: PatchCamelyon

**PatchCamelyon** is an image classification dataset. It consists of 327.680 color images (96 x 96px) extracted from histopathologic scans of lymph node sections. Each image is annotated 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.

Introducing paper: Rotation Equivariant CNNs for Digital Pathology