Indian Diabetic Retinopathy Image Dataset (IDRiD)

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Diabetic Retinopathy is the most prevalent cause of avoidable vision impairment, mainly affecting working age population in the world. Recent research has given a better understanding of requirement in clinical eye care practice to identify better and cheaper ways of identification, management, diagnosis and treatment of retinal disease. The importance of diabetic retinopathy screening programs and difficulty in achieving reliable early diagnosis of diabetic retinopathy at a reasonable cost needs attention to develop computer-aided diagnosis tool. Computer-aided disease diagnosis in retinal image analysis could ease mass screening of population with diabetes mellitus and help clinicians in utilizing their time more efficiently. The recent technological advances in computing power, communication systems, and machine learning techniques provide opportunities to the biomedical engineers and computer scientists to meet the requirements of clinical practice. Diverse and representative retinal image sets are essential for developing and testing digital screening programs and the automated algorithms at their core. To the best of our knowledge, the database for this challenge, IDRiD (Indian Diabetic Retinopathy Image Dataset), is the first database representative of an Indian population. Moreover, it is the only dataset constituting typical diabetic retinopathy lesions and also normal retinal structures annotated at a pixel level. This dataset provides information on the disease severity of diabetic retinopathy, and diabetic macular edema for each image. This makes it perfect for development and evaluation of image analysis algorithms for early detection of diabetic retinopathy.

This dataset was available as a part of "Diabetic Retinopathy: Segmentation and Grading Challenge" organised in conjuction with IEEE International Symposium on Biomedical Imaging (ISBI-2018), Washington D.C.

Instructions: 
The dataset is divided into three parts:
A. Segmentation: It consists of
1. Original color fundus images (81 images divided into train and test set - JPG Files)
2. Groundtruth images for the Lesions (Microaneurysms, Haemorrhages, Hard Exudates and Soft Exudates divided into train and test set - TIF Files) and Optic Disc (divided into train and test set - TIF Files)
B. Disease Grading: it consists of
1. Original color fundus images (516 images divided into train set (413 images) and test set (103 images) - JPG Files)
2. Groundtruth Labels for Diabetic Retinopathy and Diabetic Macular Edema Severity Grade (Divided into train and test set - CSV File)
C. Localization: It consists of
1. Original color fundus images (516 images divided into train set (413 images) and test set (103 images) -
JPG Files)
2. Groundtruth Labels for Optic Disc Center Location (Divided into train and test set - CSV File)
3. Groundtruth Labels for Fovea Center Location (Divided into train and test set - CSV File)
 
For more information visit idrid.grand-challenge.org

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Citation Author(s):
Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe and Fabrice Meriaudeau
Submitted by:
Prasanna Porwal
Last updated:
Sat, 06/16/2018 - 23:06
DOI:
10.21227/H25W98
Data Format:
Links:
 
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[1] Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe and Fabrice Meriaudeau, "Indian Diabetic Retinopathy Image Dataset (IDRiD)", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H25W98. Accessed: Jun. 17, 2018.
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url = {http://dx.doi.org/10.21227/H25W98},
author = {Prasanna Porwal; Samiksha Pachade; Ravi Kamble; Manesh Kokare; Girish Deshmukh; Vivek Sahasrabuddhe and Fabrice Meriaudeau },
publisher = {IEEE Dataport},
title = {Indian Diabetic Retinopathy Image Dataset (IDRiD)},
year = {2018} }
TY - DATA
T1 - Indian Diabetic Retinopathy Image Dataset (IDRiD)
AU - Prasanna Porwal; Samiksha Pachade; Ravi Kamble; Manesh Kokare; Girish Deshmukh; Vivek Sahasrabuddhe and Fabrice Meriaudeau
PY - 2018
PB - IEEE Dataport
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Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe and Fabrice Meriaudeau. (2018). Indian Diabetic Retinopathy Image Dataset (IDRiD). IEEE Dataport. http://dx.doi.org/10.21227/H25W98
Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe and Fabrice Meriaudeau, 2018. Indian Diabetic Retinopathy Image Dataset (IDRiD). Available at: http://dx.doi.org/10.21227/H25W98.
Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe and Fabrice Meriaudeau. (2018). "Indian Diabetic Retinopathy Image Dataset (IDRiD)." Web.
1. Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe and Fabrice Meriaudeau. Indian Diabetic Retinopathy Image Dataset (IDRiD) [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H25W98
Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe and Fabrice Meriaudeau. "Indian Diabetic Retinopathy Image Dataset (IDRiD)." doi: 10.21227/H25W98