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.
| Author / organization | KE9037 |
|---|---|
| License (as declared) | cc0-1.0 |
| Downloads | 414 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 4 December 2025 |
| Last updated at source | 4 December 2025 |
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414 now (+155 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 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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