Once the training was completed, it was tested and validated to detect the said eye conditions using separate datasets, including 10 external datasets from multi-ethnic populations across different countries. The 30 co-investigators used the world’s first and largest dataset consisting of nearly 500,000 retinal images to evaluate the use of the DLS.