Closed somaiaahmed closed 3 months ago
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@SrijanShovit plz assign it to me and put the appropriate labels
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@SrijanShovit please accept the PR
Is your feature request related to a problem? Please describe.
World Health Organization estimates that at least 2.2 billion people have near or distant vision impairment. 1 billion of those cases could have been prevented or still have to be addressed. The leading causes of blindness or distance vision impairment among those mentioned 1 billion are cataracts (94 million), refractive error (88.4 million), age-related macular degeneration (8 million), glaucoma (7.7 million) and diabetic retinopathy (3.9 million) Among the above eye conditions, we will study cataracts, glaucoma, and diabetic retinopathy.
Describe the solution you'd like along with reference dataset.
build a deep learning model to classify the images of eyes if it's diseased or not dataset: https://www.kaggle.com/datasets/gunavenkatdoddi/eye-diseases-classification
Describe alternatives you've considered
No response
Additional context
No response
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