Biomedical image classification has become increasingly popular in recent years. Many physicians and research facilities are leveraging image classification to assist in classifying biomedical images into distinct categories. This technology can assist physicians in making diagnoses and can also be leveraged in research. Although this lab focuses on biomedical images, the use of the Oracle services highlighted in this lab can be applied across a wide range of industries and use cases.
This tutorial teaches end-users how to bulk upload images to object storage, create a dataset in the Data Labeling Service, bulk label the images, and create/train a custom image classification model using the labeled dataset. Each image contains a scan of a blood sample and is labeled with one of three classifications: cell, debris, stripe. The goal is to leverage DLS and OCI Vision to classify these images.