OCI Vision can classify images into thousands of categories to simplify common digital asset management scenarios or identify items that need attention, such as overgrowth near a power line. Developers can also identify and localize objects in images to automate counting of common items, such as packages and vehicles.
With access to pretrained models, developers can create custom models without managing custom model infrastructure. The OCI Vision user interface also helps developers upload data and train an image classification or object detection model, review custom model metrics, and organize models into projects. This makes creating highly accurate, custom-trained computer vision models accessible to everyone.
OCI Vision is a versatile service that can be called via REST APIs, two different SDKs, or the OCI command line. Developers can easily deploy a scalable vision service—without having data science or ML expertise.