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Dataset assetOpen Source CommunityImage ClassificationCancer Research
1aurent/LC25000
The dataset contains 25,000 color images divided into five classes, each class comprising 5,000 images. All images are 768 × 768 pixels in JPEG format.
Source
hugging_face
Created
Nov 28, 2025
Updated
May 25, 2024
Signals
260 views
Availability
Linked source ready
Overview
Dataset description and usage context
LC25000: Lung and Colon Histopathological Image Dataset
Dataset Description
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Features:
image: Image dataorgan: Organ label (lungfor lung,colonfor colon)label: Pathology label (benign,adenocarcinomas,squamous carcinomas)
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Split:
train: Training set containing 25,000 samples, size 1,581,800,190 bytes
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Dataset Size:
- Download size: 1,125,348,716 bytes
- Dataset size: 1,581,800,190 bytes
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Tags:
biology,cancer
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Size Category:
10K<n<100K
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License:
unlicense
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Task Category:
image-classification
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Papers with Code ID:
lc25000
Detailed Description
The dataset comprises 25,000 color images split into five categories, each containing 5,000 images. All images are 768 × 768 pixels and stored as JPEG files.
Citation
@misc{borkowski2019lung,
title = {Lung and Colon Cancer Histopathological Image Dataset (LC25000)},
author = {Andrew A. Borkowski and Marilyn M. Bui and L. Brannon Thomas and Catherine P. Wilson and Lauren A. DeLand and Stephen M. Mastorides},
year = {2019},
eprint = {1912.12142},
archiveprefix = {arXiv},
primaryclass = {eess.IV}
}
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