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---
dataset_info:
features:
- name: features
sequence:
sequence: float32
- name: label
dtype: int64
splits:
- name: iBOTViTBasePanCancer_test
num_bytes: 401342744
num_examples: 130
- name: iBOTViTBasePanCancer_train
num_bytes: 808932620
num_examples: 269
download_size: 1210840794
dataset_size: 1210275364
configs:
- config_name: default
data_files:
- split: iBOTViTBasePanCancer_test
path: data/iBOTViTBasePanCancer_test-*
- split: iBOTViTBasePanCancer_train
path: data/iBOTViTBasePanCancer_train-*
license: other
task_categories:
- feature-extraction
- image-classification
language:
- en
tags:
- biology
- medical
- cancer
pretty_name: Camelyon16 Features
size_categories:
- n<1K
---
# Dataset Card for Camelyon16-features
### Dataset Summary
The Camelyon16 dataset is a very popular benchmark dataset used in the field of cancer classification.
The dataset we've uploaded here is the result of features extracted from the Camelyon16 dataset using the Phikon model, which is also openly available on Hugging Face.
## Dataset Creation
### Initial Data Collection and Normalization
The initial collection of the Camelyon16 Whole Slide Images is credited to:
Radboud University Medical Center (Nijmegen, the Netherlands),
University Medical Center Utrecht (Utrecht, the Netherlands).
### Licensing Information
This dataset is under [Owkin non-commercial license](https://github.com/owkin/HistoSSLscaling/blob/main/LICENSE.txt).
### Citation Information
Owkin claims no ownership of this dataset. This is simply an extraction of features from the original dataset.
[Link to original dataset](https://camelyon16.grand-challenge.org/) [Link to original paper](https://jamanetwork.com/journals/jama/fullarticle/2665774) |