datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CRCD
Comprehensive Robotic Cholecystectomy Dataset (CRCD)
The Comprehensive Robotic Cholecystectomy Dataset (CRCD) is a large-scale, multimodal dataset for robot-assisted surgery (RAS) research.It provides synchronized endoscopic videos, da Vinci surgical robot kinematics, and pedal usage signals, making it one of the most comprehensive open datasets for studying robotic cholecystectomy procedures.
CRCD supports research in:
Medical robotics and surgical automation
Computer vision… See the full description on the dataset page: https://huggingface.co/datasets/SITL-Eng/CRCD.NCT-CRC-HE
100,000 histological images of human colorectal cancer and healthy tissue
Data Description "NCT-CRC-HE-100K"
This is a set of 100,000 non-overlapping image patches from hematoxylin & eosin (H&E) stained histological images of human colorectal cancer (CRC) and normal tissue.
All images are 224x224 pixels (px) at 0.5 microns per pixel (MPP). All images are color-normalized using Macenko's method (http://ieeexplore.ieee.org/abstract/document/5193250/, DOI… See the full description on the dataset page: https://huggingface.co/datasets/1aurent/NCT-CRC-HE.GAEA-Train GAEA: A Geolocation Aware Conversational Model [WACV 2026🔥]
Summary
Image geolocalization, in which an AI model traditionally predicts the precise GPS coordinates of an image, is a challenging task with many downstream applications. However, the user cannot utilize the model to further their knowledge beyond the GPS coordinates; the model lacks an understanding of the location and the conversational ability to communicate with the user. In recent days, with the tremendous progress of… See the full description on the dataset page: https://huggingface.co/datasets/ucf-crcv/GAEA-Train.crc1-3d-histology-moduleNCT-CRC-HE
100,000 histological images of human colorectal cancer and healthy tissue
Data Description "NCT-CRC-HE-100K"
This is a set of 100,000 non-overlapping image patches from hematoxylin & eosin (H&E) stained histological images of human colorectal cancer (CRC) and normal tissue.
All images are 224x224 pixels (px) at 0.5 microns per pixel (MPP). All images are color-normalized using Macenko's method (http://ieeexplore.ieee.org/abstract/document/5193250/, DOI… See the full description on the dataset page: https://huggingface.co/datasets/yh123yh/NCT-CRC-HE.NCT-CRC-HE
100,000 histological images of human colorectal cancer and healthy tissue
Data Description "NCT-CRC-HE-100K"
This is a set of 100,000 non-overlapping image patches from hematoxylin & eosin (H&E) stained histological images of human colorectal cancer (CRC) and normal tissue.
All images are 224x224 pixels (px) at 0.5 microns per pixel (MPP). All images are color-normalized using Macenko's method (http://ieeexplore.ieee.org/abstract/document/5193250/, DOI… See the full description on the dataset page: https://huggingface.co/datasets/Varsha-Y12/NCT-CRC-HE.crc1-3d-histology-module-v2nct-crc-he
Dataset Card for NCT-CRC-HE
Dataset Summary
The NCT-CRC-HE dataset consists of images of human tissue slides, some of which contain cancer.
Data Splits
The dataset contains tissues from different parts of the body. Examples from each of the 9 classes can be seen below
Initial Data Collection and Normalization
NCT biobank (National Center for Tumor Diseases) and the UMM pathology archive (University Medical Center Mannheim). Images were… See the full description on the dataset page: https://huggingface.co/datasets/owkin/nct-crc-he.BBQ-V
BBQ-V: Benchmarking Visual Stereotype Bias in Large Multimodal Models
⚠️ Content warning: This dataset contains contexts and questions that surface
harmful social stereotypes. It is intended solely for measuring and mitigating bias
in AI systems.
Summary
Stereotype biases in Large Multimodal Models (LMMs) perpetuate harmful societal prejudices, undermining the fairness and equity of AI applications. As LMMs grow increasingly influential, addressing and… See the full description on the dataset page: https://huggingface.co/datasets/ucf-crcv/BBQ-V.HEPROBench-CRC-CODEX-review-demo
HEPROBench CRC-CODEX reviewer demo
This is a small real-data software-verification subset for HEPROBench. It
contains paired, registered H&E and CRC-CODEX patches derived from Schürch et
al., Coordinated cellular neighborhoods orchestrate antitumoral immunity at
the colorectal cancer invasive front, created by Christian Schürch, Mendeley Data
10.17632/mpjzbtfgfr.1, licensed under
CC BY 4.0.
The bundle has 2 patches from each of 2
anonymized FOVs per split (4 train,
4 validation… See the full description on the dataset page: https://huggingface.co/datasets/u3011706/HEPROBench-CRC-CODEX-review-demo.GAEA-Bench GAEA: A Geolocation Aware Conversational Assistant [WACV 2026🔥]
Summary
Image geolocalization, in which an AI model traditionally predicts the precise GPS coordinates of an image, is a challenging task with many downstream applications. However, the user cannot utilize the model to further their knowledge beyond the GPS coordinates; the model lacks an understanding of the location and the conversational ability to communicate with the user. In recent days, with the tremendous progress of… See the full description on the dataset page: https://huggingface.co/datasets/ucf-crcv/GAEA-Bench.datasetimage
CRC100kcrc1maio-assetscrc1-valis-resultsCRC-ICM_HE-Subset
CRC-ICM-H&E Subset – Colorectal Cancer Immune Cell Markers (H&E Images Only)
This dataset is a filtered version of the CRC-ICM-v1 dataset from Mendeley Data, containing only Hematoxylin & Eosin (H&E) stained histopathology images.
Dataset Summary
Source: CRC-ICM-v1 (Mendeley Data)
Content: H&E-stained colorectal cancer tissue images
Format: .jpg images and a metadata file (data.csv)
Image Types: CT (central tumor), IM (invasive margin)
Magnification: 20x
The images are… See the full description on the dataset page: https://huggingface.co/datasets/esholmess/CRC-ICM_HE-Subset.crc_image_dataset
Dataset Card for "crc_image_dataset"
More Information needed
crc-proteomics-assetscrc1-zeroreg-resultscolon-3d-crc1crcj