Implemented an Efficient Net Inspired Image Classification network in Pytorch to Classify the eye Images with microaneurysms to 5 taxonomies’ Based on severity of disease. Improved Model performance to achieve a top 1% score with 85.4% validation accuracy.
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Implemented an Efficient Net Inspired Image Classification network in Pytorch to Classify the eye Images with microaneurysms to 5 taxonomies’ Based on severity of disease. Improved Model performance to achieve a top 1% score with 85.4% validation accuracy.
nighting0le01/Eye-Disease-Classification
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Implemented an Efficient Net Inspired Image Classification network in Pytorch to Classify the eye Images with microaneurysms to 5 taxonomies’ Based on severity of disease. Improved Model performance to achieve a top 1% score with 85.4% validation accuracy.
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