Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0

Name: Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0
Creator: Sachin Panchal
License: https://creativecommons.org/licenses/by/4.0/

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 - 13:11
DOI:: 10.21227/mrd2-ap11

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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.

KADIYALA LIKIT… Tue, 02/07/2023 - 08:46 Permalink

wei dai Tue, 04/02/2024 - 09:15 Permalink

I NEED THIS DATASET FOR RESEARCH WORK

PAMMI KUMARI Thu, 02/16/2023 - 11:31 Permalink

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

Sachin Panchal Mon, 02/20/2023 - 05:04 Permalink

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

Jeremiah FADUGBA Wed, 12/13/2023 - 08:00 Permalink

No, It is set of completely different images.

Sachin Panchal Sun, 03/31/2024 - 05:33 Permalink

yue ding Wed, 04/10/2024 - 07:03 Permalink

please can i get access to the database ?

aymen sarhane Wed, 11/20/2024 - 13:56 Permalink

This dataset is useful.

Suluh Wibowo Wed, 03/12/2025 - 01:36 Permalink

This dataset is useful.

Wei Li Sat, 04/05/2025 - 08:23 Permalink

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Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0

Abstract

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