Retinal Disease Classification
Retinal Disease Classification
Datasets
Retinal Disease Classification
File
Retinal Disease Classification
Use Case
Retinal Disease Classification
Description
Discover the Retinal Fundus Multi-disease Image Dataset (RFMiD), featuring 3,200 fundus images annotated for 46 conditions. Developed to support early detection and diagnosis of ocular pathologies, this dataset addresses global eye care challenges and promotes improved eye health outcomes.
Description:
According to the WHO’s 2019 World Report on Vision, an estimated 2.2 billion people worldwide suffer from visual impairments, with at least 1 billion cases being preventable or yet to be addressed. The global eye care landscape faces significant challenges, including disparities in the accessibility and quality of prevention, treatment, and rehabilitation services. Early detection and diagnosis of ocular pathologies are crucial for preventing visual impairment.
Â
Download Dataset
To address this need, we have developed the Retinal Fundus Multi-disease Image Dataset (RFMiD), comprising 3,200 fundus images captured with three different fundus cameras. This dataset includes annotations for 46 conditions, verified through the consensus of two senior retinal experts. This resource aims to support advancements in the early detection and diagnosis of eye diseases, ultimately improving eye care outcomes worldwide.
Contact Us
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
Let's Discuss your Data collection Requirement With Us
To get a detailed estimation of requirements please reach us.