Indian Diabetic Retinopathy Image Dataset (IDRiD): A Resource for Research on Diabetic Retinopathy Screening
  • Author(s): A. Lakshmannath ; Dr. Dilshad Begum
  • Paper ID: 1709403
  • Page: 1400-1404
  • Published Date: 26-06-2025
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 8 Issue 12 June-2025
Abstract

Diabetic retinopathy remains the leading cause of preventable vision loss, primarily affecting the working-age demographic globally. Contemporary studies have enhanced our understanding of the clinical need for more efficient and cost-effective methods for detecting, diagnosing, managing, and treating retinal disorders. The growing emphasis on screening initiatives and the challenge of ensuring affordable, early-stage detection of diabetic retinopathy highlight the necessity for computer-aided diagnostic systems. Such automated tools in retinal image assessment can streamline large-scale screening for individuals with diabetes mellitus and allow healthcare professionals to allocate their time more productively. Advancements in computing technology, data transmission infrastructure, and machine learning have created significant opportunities for biomedical engineers and computer scientists to support clinical demands. The development and validation of digital screening platforms and their core automated techniques require diverse and representative retinal image collections. To our knowledge, the Indian Diabetic Retinopathy Image Dataset (IDRiD) is the first publicly available dataset that accurately reflects the Indian population. It includes annotations at the pixel level for both typical diabetic retinopathy lesions and healthy retinal features. Each image in the dataset also includes associated information regarding the severity of diabetic retinopathy and the presence of diabetic macular edema. This makes the dataset highly suitable for creating and assessing image analysis methods aimed at early diabetic retinopathy detection.

Citations

IRE Journals:
A. Lakshmannath , Dr. Dilshad Begum "Indian Diabetic Retinopathy Image Dataset (IDRiD): A Resource for Research on Diabetic Retinopathy Screening" Iconic Research And Engineering Journals Volume 8 Issue 12 2025 Page 1400-1404

IEEE:
A. Lakshmannath , Dr. Dilshad Begum "Indian Diabetic Retinopathy Image Dataset (IDRiD): A Resource for Research on Diabetic Retinopathy Screening" Iconic Research And Engineering Journals, 8(12)