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.
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.
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.