After 5 years, I was attending HROUG’22 (Croatian Oracle User Group) as a presenter delivering my latest Just Like a Box of Chocolate presentation:
OCI Vision is a self-service AI Service, available in Oracle Cloud Infrastructure (OCI), which Oracle defines as a service that “applies computer vision to analyse image-based content. Developers can easily integrate pretrained models into their applications with APIs or custom train models to meet their specific use cases. These models can be used to detect visual anomalies in manufacturing, extract text from documents to automate business workflows, and tag items in images to count products or shipments”.
Basically, what Vision AI Service does is Image Classification, Object Detection and Document AI.
In the first part, presentation focuses on how to prepare data for the training, by using Data Labelling, another OCI service, and how to run the model training itself using OCI Vision.
In the second part of the presentation, we will focus on how to integrate Oracle Analytics with OCI Vision in order to use generated model to classify new objects and visualise the results.
The use case used in the demo will be rather large dataset of X-Ray images and we will try to train the model to identify X-Rays of pneumonia infected lungs.
Presentation can be downloaded from here.