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In this liveProject, you’ll take on the role of a computer vision engineer creating a proof-of-concept for a mobile app with world-changing potential. The goal of the app is to capture a picture of a skin mole, and then calculate the likelihood of it being a cancerous melanoma in need of medical intervention. Your mission is to build a model that can perform this image classification using low-resolution photos from a phone’s camera. You are provided with a training dataset, however, only a small fraction of the images have been labeled. To overcome this challenge, you will employ data augmentation techniques, transfer learning and semi-supervised learning with GANs to produce your final model.
This project is designed for learning purposes and is not a complete, production-ready application or solution.