Žiga Vaupot's Blog

On November 3rd, I delivered my presentation OCI Vision and Oracle Analytics: Just like a Box of Chocolates at Analytics and Data Oracle User Community (AnDOUC)  TechCast : OCI Vision is a self-service AI Service, which applies computer vision to analyze image-based content. It allows developers easily integrate pre-trained models into their applications with APIs or custom training models to meet their specific use cases. In our example, I will explore how to use OCI Vision service to create a custom-built model to detect pneumonia infected lungs on a fresh dataset of X-ray images. In this example, I am using rather large dataset of X-ray images found on Kaggle.com. Oracle Analytics is then used as a front-end tool to use the model to classify new images for pneumonia. What to expect to see in this presentation? In the first place, we will demonstrate and explore the whole process from “plain” X-ray image to identifying pneumonia infected lungs using OCI services: Gathering and stori

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 focu