In this project I use ISIC 2019 dataset for the purpose of different skin lession classification. I use MobileNetV2 for the purpose of solving the problem of classification. I got the validation accuracy of 95% and 99% of training accuracy. In the end of this project I also create a tflite model that can be further use to integrate with flutter.
Some overview of the application that has been designed for this particular task has been followed:
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In this project I use ISIC 2019 dataset for the purpose of different skin lession classification. I use MobileNetV2 for the purpose of solving the problem of classification. I got the validation accuracy of 95% and 99% of training accuracy. In the end of this project I also create a tflite model that can be further use to integrate with flutter.
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zuhaib1214/Lession-Lab
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In this project I use ISIC 2019 dataset for the purpose of different skin lession classification. I use MobileNetV2 for the purpose of solving the problem of classification. I got the validation accuracy of 95% and 99% of training accuracy. In the end of this project I also create a tflite model that can be further use to integrate with flutter.
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