About 35% of diabetic patients have an eye disease called diabetic retinopathy. This occurs when high blood sugar levels cause damage to blood vessels in the retina. However, someone can have diabetic retinopathy and not know it. This is because the disease often has no symptoms in its early stages. Through a photo of the back of the eye and with the help of computer models to detect abnormalities, diabetic retinopathy can be diagnosed much faster and more accurately.
To train computer models based on artificial intelligence, a lot of images are needed. The organisers have a database of images that must be screened to train the computer models and are seeking help to screen the images of the retina and make various annotations. Based on these observations, the project can continue its research and detect diabetic retinopathy much faster.
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