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:
-
Notifications
You must be signed in to change notification settings - Fork 0
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.
License
zuhaib1214/Lession-Lab
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
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.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published