In this project, we need to build a labeled dataset that distinguishes between healthy and pneumonia x-ray images.This dataset would eventually be used to build a product that helps doctors quickly identify cases of pneumonia in children.we are going to take the next step and build the classification model that would serve as the backbone of this product.For this task,we will use Google AutoML,an automated machine learning tool that will allow us to build the model and host it in the cloud. In order to appreciate how training data impact models,we will build models with 4 variants of the dataset.The goals of this product are
Help flag serious cases, Quickly identify healthy cases, And, generally, act as a diagnostic aid for doctors.
Built With
- automl
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