Build a product that helps doctors quickly identify cases of pneumonia in children. Build a classification system that
- Can help flag serious cases.
- Quickly identify healthy cases.
- And, generally, act as a diagnostic aid for doctors.
As such, this project is designed to test your ability to build a labeled dataset that distinguishes between healthy and pneumonia x-ray images; this can be used by ML engineers later on down the line to build a classification product. The main task will be to create a data labeling job using Appen's platform