KE9037/PatchCamelyon

PatchCamelyon (PCam) Description 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 Why PCam… See the full description on the dataset page: https://huggingface.co/datasets/KE9037/PatchCamelyon.