Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0
- Citation Author(s):
- Submitted by:
- Sachin Panchal
- Last updated:
- Thu, 01/05/2023 - 08:11
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.
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.
- RFMiD2_0.zip (60.71 MB)
- Test_set.zip (12.59 MB)
- Training_set.zip (35.49 MB)
- Validation_set.zip (12.64 MB)
I NEED THIS DATASET FOR RESEARCH WORK
Please get the dataset from official repositories. For more info firstname.lastname@example.org