Žiga Vaupot's Blog

This little exercise started a few weeks back. What we tried to test is how Oracle AI Vision performs on a larger database for real. In order to perform this little test we used Chest X-Ray Images (Pneumonia)   dataset from kaggle.com . Let me begin with the following note:  We built the model as described below, but then we encountered an error which caused all the images to be classified as “pneumonia ” .  In the same time we had an opportunity to work closely with Oracle AI Services development team who have responded instantly and successfully removed the bug. And here are the results. Train The process of training the model is code free . Similarly as described in one of my previous blog posts , we needed a new custom project. Project acts as a container which can contain several models we created. There is a wizard that helps users to create a new one. The wizard is executed in three steps.  In the first step, basic parameters are set, such as the type of the ...

Oracle AI Services With this blog post I am still discovering various cloud services that constitute Oracle Data Lakehouse . This time I am looking at Oracle AI Services . Oracle describes these AI services as pre-trained models that can be custom trained with an organisation’s own data to improve model quality, making it easier for developers to adopt and use AI technology . OCI provides the following prebuilt services: Digital Assistant Language Speech Vision Anomaly Detection. In this blog post, I am playing wih Vision AI Service.  Vision AI Service OCI Vision   applies computer vision to analyze 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 d...

Oracle Cloud Infrastructure (OCI) Data Catalog is part of Oracle Data Lakehouse platform and is defined as "a fully managed, self-service, data discovery and governance solution for your enterprise data. With Data Catalog, you get a single collaborative environment to manage technical, business, and operational metadata." ( https://docs.oracle.com/en-us/iaas/data-catalog/home.htm ) I am sure many of users will find Data Catalog very useful. It provides several really nice features which enable users to: harvest metadata from various data sources, create a common, enterprise-wide business glossary, link data to business terms and tags, explore data assets in data catalog, automate harvesting jobs to update the catalog on regular basis, integrate with other applications using REST APIs and SDK. So where do we start? At the beginning, of course. We need to locate Data Catalog Service in OCI.  It is located under Analytics & AI menu item in OCI navigation panel and then y...