Datasets:
license: cc-by-4.0
task_categories:
- image-classification
tags:
- medical
- ophthalmology
- retina
- fundus
- eye-disease
splits:
- train
- validation
- test
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': CSCR
'1': DiabeticRetinopathy
'2': DiscEdema
'3': Glaucoma
'4': Healthy
'5': MacularScar
'6': Myopia
'7': Pterygium
'8': RetinalDetachment
'9': RetinitisPigmentosa
splits:
- name: train
num_bytes: 637783802
num_examples: 3734
- name: validation
num_bytes: 136994645
num_examples: 800
- name: test
num_bytes: 136336895
num_examples: 801
download_size: 910198022
dataset_size: 911115342
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
EDID — Eye Disease Fundus Image Dataset
A curated dataset of retinal fundus images for automated eye disease classification.
The original Dataset shared in paper "A dataset of color fundus images for the detection and classification of eye diseases",
doi: https://doi.org/10.1016/j.dib.2024.110979.
Link to original dataset: https://data.mendeley.com/datasets/s9bfhswzjb/1
All credits goes to authors of mentioned paper.
Dataset Details
Please visit links above for more information about data collection, source location and limitations.
No augmentation is applied to dataset.
Original image size: 2004 × 1690 px
Rezised to: 1024 × 1024 px
Total images: 5335
Split: 70% train, 15% val, 15% test
Number of classes: 10
Classes
CSCR (Central Serous Chorioretinopathy)DiabeticRetinopathyDiscEdemaGlaucomaHealthyMacularScarMyopiaPterygiumRetinalDetachmentRetinitisPigmentosa
Citation
If you are using this dataset, please consider citing original paper (https://doi.org/10.1016/j.dib.2024.110979) and mention bekzatn/EDID.