README.md

metadata

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:

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

@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}
}
}