In this quickstart, you will use the Azure Face REST API with Node.js to detect human faces in an image. You can get a free trial subscription key from Try Cognitive Services. Or, follow the instructions in Create a Cognitive Services account to subscribe to the Face API service and get your key. Go to the folder where you'd like to create your project and create a new file, facedetection.js. Then install the requests module to this project.

The service provides algorithms, exposed as REST-based web service calls, to detect, verify, identify, and analyze faces. The service can provide face matching, face attributes, and characteristic analysis. The API also has capabilities for Face identification and recognition. This service also provides face-specific: landmarks(nose, eyes) & attributes (skin color, age, gender). Face Detection API: The face detection API provides information about detected faces in an image but isn't designed to identify or recognize a specific face.

The Face API can detect human faces in an image and return the rectangle coordinates of their locations. Optionally, face detection can extract a series of face-related attributes such as pose, gender, age, head pose, facial hair, and glasses. The face detection feature is also available through the Computer Vision API, but if you wish to do further operations with face data, you should use the Face API (this service). You can get a free trial subscription key from Try Cognitive Services. Then add the following code inside the body element of the document.