Dataset · Hugging Face

1aurent/PatchCamelyon

Name: PatchCamelyon
Creator: 1aurent
License: cc0-1.0
Keywords: task_categories:image-classification, license:cc0-1.0, size_categories:100K<n<1M, region:us, camelyon, biology, Histopathology, Histology, Digital Pathology

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/1aurent/PatchCamelyon.

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Author / organization	1aurent
License (as declared)	cc0-1.0
Downloads	7.3K (as reported by Hugging Face)
Likes	12
Created	7 November 2023
Last updated at source	25 May 2024

camelyonbiologyHistopathologyHistologyDigital Pathology

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7,289 now (+580 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

tanganke/clip-vit-large-patch14_pcamModel · used to train
1aurent/resnet50.lunit_btModel · used to train
1aurent/resnet18.tiatoolbox-pcamModel · used to train
1aurent/densenet121.tiatoolbox-pcamModel · used to train
tanganke/clip-vit-base-patch16_pcamModel · used to train
1aurent/resnet50.lunit_swavModel · used to train
1aurent/vit_small_patch8_224.lunit_dinoModel · used to train
1aurent/resnet50.tiatoolbox-pcamModel · used to train
1aurent/vit_small_patch16_224.lunit_dinoModel · used to train
tanganke/clip-vit-base-patch32_pcamModel · used to train

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16 Oct 2026 Description: 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 a → 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 a

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