Object Recognition

Introduction

Object recognition is a Catalyst Zia Services component that recognizes and identifies objects in an image. It is an AI program in the field of computer vision that uses pre-trained 3D models, component identification, edge detection algorithms, and other technologies to recognize specific entities semantically and episodically. In other words, the AI detects and labels specific objects, such as a tree or a person, from an image.

Object Recognition can identify 80 different kinds of common objects in an image. Zia provides information about each identified object’s type, its position in the image, and a confidence score indicating the accuracy of each recognition in the response. You can implement Zia Object recognition in applications that perform image classification, object detection, or object localization.

Catalyst provides Zia Object Recognition in the Java, Node.js and Python SDK packages, and you can integrate it in your Catalyst web or Android application. The Catalyst console provides easy access to code templates for these environments that you can implement in your application’s code.

You can also test Object Recognition by uploading sample images or documents that contain text in the console and obtain the recognized text, to get a better idea of Zia’s accuracy and the response format.

You can refer to the Java SDK documentation, Node.js SDK documentation and Python SDK documentation for code samples of Object Recognition. Refer to the API documentation to learn about the API available for Object Recognition.

You can learn more about the other components of Catalyst Zia Services from this page.