Oracle Cloud Infrastructure (OCI) Vision is one of several AI services available on Oracle Cloud Infrastructure.

OCI Vision gives you the power to apply machine learning and artificial intelligence without needing data science expertise. It has pre-trained models that enable you to quickly conduct OCR, image classification and object detection, document classification, anomaly detection, and more.

You can tune the pre-trained models with custom data using transfer learning. Use existing labeled datasets for the tuning, or if your data is not already labeled, use Oracle Data Labeling service to ease the task.

In this learning path you will learn how to:

• Use the object storage user interface to create a bucket.
• Create a connection to the OCI Object Storage endpoint.
• Create a connector to call the service, to store and delete the images you want to analyze.
• Use the OCI Data Labeling interface to create a dataset for training your model for analyzing images.
• Use the Vision interface to create a custom model for analyzing images.
• Create a connection to the OCI Vision endpoint.
• Create a Connector to call the service to analyze the images.
• Create an orchestration that:
  1. Takes the image from PO Receipt as input and uses the connector to upload the file to object storage.
  2. Connects to the OCI AI Vision service, which picks these images from the OCI object storage to scan and analyze them.
  3. Parses the response from OCI Vision and captures it as a test result against the purchase order receipt routing in JD Edwards.

Enroll: Enroll in the learning path to track your progress. An overall percent complete replaces the Enroll option and each task is marked as complete as you progress through the learning path.

Navigation: Click a topic to view the associated content. When you reach the end of the content, use the arrows at the bottom of the page to move between topics.

Audience: This learning path is intended for developers or business analysts who are proficient with REST APIs and can create complex orchestrations, JRuby scripts, and logic extensions.

For more information about using Artificial Intelligence with JD Edwards EnterpriseOne, see the following resources:

• Technical Brief - Augmenting JD Edwards EnterpriseOne with Oracle Cloud Infrastructure Services
• Business Brief - Oracle Artificial Intelligence with Oracle JD Edwards EnterpriseOne
• FAQ Document - Frequently Asked Questions for Oracle Cloud Infrastructure (OCI) Artificial Intelligence with Oracle JD Edwards EnterpriseOne
• Orchestrator Guide - Creating a Connection