Datasets:
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---
license: apache-2.0
task_categories:
- image-classification
- object-detection
language:
- en
tags:
- capillary
- diabetes
- CNN
- VIT
size_categories:
- 10K<n<100K
---
# Capillary dataset
**Paper**: Capillary Dataset: A dataset of nail-fold capillaries captured by microscopy for diabetes detection
**Github**: https://github.com/urgonguyen/Capillarydataset.git
The dataset are structured as follows:
```bash
Capillary dataset
├── Classification
├── data_1x1_224
├── data_concat_1x9_224
├── data_concat_2x2_224
├── data_concat_3x3_224
├── data_concat_4x1_224
└── data_concat_4x4_224
├── Morphology_detection
├── images
└── labels
├── Video
├── classification_original
├── diabetic_patients
└── healthy_subjects
```
We also provide the original dataset, which was collected from participants so that the researcher can select and create their dataset (classification_original).
## Citation Information
```bibtex
@inproceedings{nguyen2025capillary,
title={Capillary Dataset: A Dataset of Nail-fold Capillaries Captured by Microscopy for Diabetes Detection},
author={Nguyen, Hang Thi Phuong and Jeong, Hieyong},
booktitle={Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2},
pages={5722--5729},
year={2025}
}
}
``` |