Built a binary classification 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. As a Product Owner, the goal of this project is to build a product that helps doctors quickly identify cases of pneumonia in children. I built a classification system that • Can help flag serious cases • Quickly identify healthy cases, and • Generally, act as a diagnostic aid for doctors Figure Eight's platform was used to create the data labelling job.
B-akintade/Data-Annotation
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