datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
endoscopy_depth@article{bobrow2023,
title={Colonoscopy 3D video dataset with paired depth from 2D-3D registration},
author={Bobrow, Taylor L and Golhar, Mayank and Vijayan, Rohan and Akshintala, Venkata S and Garcia, Juan R and Durr, Nicholas J},
journal={Medical Image Analysis},
pages={102956},
year={2023},
publisher={Elsevier},
}
endoscopygi-endoscopy-megabank-stage2
GI-Endoscopy MegaBank Stage 2
A large GI/endoscopy image bank prepared for vision-language and encoder training.
Contents
This dataset currently combines:
HyperKvasir original images
HyperKvasir video frames extracted at 5 FPS
Kvasir-Capsule labelled images
Kvasir-Capsule video frames extracted at 5 FPS
Current size
Total images/frames: 1,125,053
HyperKvasir: 283,582
Kvasir-Capsule: 841,471
Storage format
All images are stored in… See the full description on the dataset page: https://huggingface.co/datasets/Sahibnoor1/gi-endoscopy-megabank-stage2.endoscopy_dataset
--
license: unknown
language:
- en
pretty_name: Endoscopy Bowel Prep Risk Dataset (Synthetic)
task_categories:
- text-classification
tags:
- synthetic
- tabular
- endoscopy
- nursing
- bowel-prep
- risk-prediction
size_categories:
- <1K
Endoscopy Bowel Prep Risk Dataset (Synthetic)
📌 Dataset Summary
This is a synthetic dataset created for research and demonstration in endoscopy nursing care.It is designed to support AI-assisted risk… See the full description on the dataset page: https://huggingface.co/datasets/Chinapa/endoscopy_dataset.scared-endoscopy