Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0

Citation Author(s):
Sachin
Panchal
Center of Excellence in Signal and Image Processing, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra 431606, India
Ankita
Naik
Center of Excellence in Signal and Image Processing, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra 431606, India
Manesh
Kokare
Center of Excellence in Signal and Image Processing, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra 431606, India
Samiksha
Pachade
The University of Texas Health Science Center at Houston
Rushikesh
Naigaonkar
Shri Ganapati Netralaya State of Art Eye Care Hospital, Jalna, Maharashtra, India
Prerana
Phadnis
Lions Eye Hospital, Nanded, Maharashtra, India
Archana
Bhange
Keya Eye Clinic, Pune, Maharashtra, India
Submitted by:
Sachin Panchal
Last updated:
Thu, 01/05/2023 - 08:11
DOI:
10.21227/mrd2-ap11
License:
Creative Commons Attribution
2578 Views
Categories:
Artificial Intelligence
Image Processing
Medical Imaging
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Abstract 

Retinal Fundus Multi-disease Image Dataset (RFMiD 2.0) is an auxiliary dataset to our previously published dataset. RFMiD 2.0 is a more challenging dataset to research society to develop the computer-based disease diagnosis system. Diabetic Retinopathy, cataracts, and refractive error in the eye are leading disease which causes permanent vision loss more frequently. Therefore, developing an AI-based model to classify these diseases is useful for ophthalmologists. This dataset consists of 860 images of frequently and rarely observed 51 diseases. However, some images are labeled with multiple diseases. This dataset is useful for the research and development of AI-based medical healthcare systems in ophthalmology. 

Instructions: 

RFMiD2.0 Dataset is classified into three sub-classes with 60:20:20 distribution. The training set, validation set, and test set are three subfolders consisting of multi-labeled images. This distributed data can be utilized for the development of AI-based models. 

Comments

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Submitted by KADIYALA LIKITH... on Tue, 02/07/2023 - 03:46

 

 

Submitted by wei dai on Tue, 04/02/2024 - 05:15

I NEED THIS DATASET FOR RESEARCH WORK

Submitted by PAMMI KUMARI on Thu, 02/16/2023 - 06:31

Please get the dataset from official repositories. For more info 2021pec202@sggs.ac.in

Submitted by Sachin Panchal on Mon, 02/20/2023 - 00:04

Are the images in this dataset different from the first version? Or there is an overlap?

Submitted by Jeremiah FADUGBA on Wed, 12/13/2023 - 03:00

No, It is set of completely different images.

Submitted by Sachin Panchal on Sun, 03/31/2024 - 01:33

m

Submitted by yue ding on Wed, 04/10/2024 - 03:03

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