The FaceX API retrieves recognition data to detect faces, landmarks, and virtual masks. Methods are available to get image attributes (face, landmark, age, gender, etc.), match faces, search for image, search for image matches via URL, plus more.
FaceX API is built in REST principles and it offers POST commands, SDKs, docker images, and custom developments.
The following is a list of sample source code snippets that matched your search term. Source code snippets are chunks of source code that were found out on the Web that you can cut and paste into your own source code. Whereas most of the sample source code we've curated for our directory is for consuming APIs, we occasionally find something interesting on the API provider side of things. If you know of some sample source code that would be of interest to the ProgrammableWeb community, we'd like to know about it. Be sure to check our guidelines for making contributions to ProgrammableWeb.
The FaceX PHP Sample Code demonstrates how to access the API to get image attributes, compare faces, and match faces. It is recommendable to use cURL for testing, although developers can access with PHP and additional languages.
The FaceX Node.js Sample Code demonstrates how to access the API to integrate image recognition. Before using the API, developers can create a FaceX Account and select a payment plan and configure APIs to access the User ID given on the dashboard.
The FaceX Python Sample Code demonstrates how developers can access the API. With FaceX APIs, developers can now add Face Recognition capabilities to an app and build services with face ID, gender and age detection, and face transformations like masking and swapping.
The FaceX Ruby Sample Code demonstrates how developers can access the API to gain access to image recognition features. Use the API to build face ID, gender and age detection, and mask and swap face transformations applications.