---
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}
}
}
```