Retinal fundus images
Collection
6 items
•
Updated
Dataset Viewer
image
imagewidth (px) 224
224
| label_code
int64 0
4
| label
stringclasses 5
values |
|---|---|---|
2 | moderate_retinopathy |
|
4 | proliferative_retinopathy |
|
1 | mild_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
4 | proliferative_retinopathy |
|
0 | no_diabetic_retinopathy |
|
2 | moderate_retinopathy |
|
2 | moderate_retinopathy |
|
1 | mild_retinopathy |
|
0 | no_diabetic_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
3 | severe_retinopathy |
|
1 | mild_retinopathy |
|
0 | no_diabetic_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
2 | moderate_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
1 | mild_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
4 | proliferative_retinopathy |
|
2 | moderate_retinopathy |
|
4 | proliferative_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
4 | proliferative_retinopathy |
|
0 | no_diabetic_retinopathy |
|
4 | proliferative_retinopathy |
|
2 | moderate_retinopathy |
|
2 | moderate_retinopathy |
|
4 | proliferative_retinopathy |
|
2 | moderate_retinopathy |
|
1 | mild_retinopathy |
|
2 | moderate_retinopathy |
|
4 | proliferative_retinopathy |
|
0 | no_diabetic_retinopathy |
|
3 | severe_retinopathy |
|
1 | mild_retinopathy |
|
2 | moderate_retinopathy |
|
2 | moderate_retinopathy |
|
2 | moderate_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
3 | severe_retinopathy |
|
0 | no_diabetic_retinopathy |
|
2 | moderate_retinopathy |
|
1 | mild_retinopathy |
|
0 | no_diabetic_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
2 | moderate_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
1 | mild_retinopathy |
|
1 | mild_retinopathy |
|
0 | no_diabetic_retinopathy |
|
3 | severe_retinopathy |
|
0 | no_diabetic_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
1 | mild_retinopathy |
|
3 | severe_retinopathy |
|
1 | mild_retinopathy |
|
0 | no_diabetic_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
3 | severe_retinopathy |
|
4 | proliferative_retinopathy |
|
2 | moderate_retinopathy |
|
2 | moderate_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
0 | no_diabetic_retinopathy |
|
1 | mild_retinopathy |
|
0 | no_diabetic_retinopathy |
|
3 | severe_retinopathy |
|
1 | mild_retinopathy |
|
0 | no_diabetic_retinopathy |
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Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Asia Pacific Tele-Ophthalmology Society (APTOS) dataset. The images consist of retina scan images to detect diabetic retinopathy. The original dataset is available at APTOS 2019 Blindness Detection. These images are resized into 224x224 pixels so that they can be readily used with many pre-trained deep learning models.
- Funded by [optional]: Asia Pacific Tele-Ophthalmology Society (APTOS).
- Shared by: Sovit Ranjan Rath
- License: MIT
Dataset Sources [optional]
- Repository:
Uses
Direct Use
Diabetic retinopathy classification (binary or multiclass). Feature extraction (unsupervised or self supervised learning).
Out-of-Scope Use
[More Information Needed]
Dataset Structure
There are no predefined partitions in this dataset; it is up to the user to decide how to split the data.
Dataset Creation
Curation Rationale
Resizing: The images were resized to 224x224.
Source Data
Data Collection and Processing
From the description of the dataset we know that Aravind technicians travelled to rural areas in India to capture the images.
Who are the source data producers?
Aravind Eye Hospital.
Annotation process
A clinician has rated each image for the severity of diabetic retinopathy on a scale of 0 to 4:
0 - No DR
1 - Mild
2 - Moderate
3 - Severe
4 - Proliferative DR
Personal and Sensitive Information
[More Information Needed]
Bias, Risks, and Limitations
This dataset only contains a subset of the original dataset, the training split. The images have been resized by Sovit Ranjan Rath.
Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
Citation
Karthik, Maggie, and Sohier Dane. APTOS 2019 Blindness Detection. https://kaggle.com/competitions/aptos2019-blindness-detection, 2019. Kaggle.
Glossary
[More Information Needed]
More Information
[More Information Needed]
Dataset Card Authors
bumbledeep
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Size of downloaded dataset files:
250 MB
Size of the auto-converted Parquet files:
250 MB
Number of rows:
3,662