March 19, 2026 - API reference provides information about the Person, LargePersonGroup/PersonGroup, LargeFaceList/FaceList, and Face Algorithms APIs.

The cloud-based Azure Face service The Azure Face service provides AI algorithms that detect, recognize, and analyze human faces in images. Facial recognition software is important in many scenarios, such as identification, touchless access ...

September 13, 2022 - Start by creating an Azure Cognitive Services resource, and within that specifically a Face resource. For instructions, see Create a Cognitive Services resource using the portal. From the Azure Portal, copy the key and endpoint required to make the call. For instructions, see Get the keys for your resource. From the left navigation on this article, expand the node for the version of the API you want to work on, and then select the operation that you want to perform (e.g., Find Similar).

API reference provides information about the Person, LargePersonGroup/PersonGroup, LargeFaceList/FaceList, and Face Algorithms APIs.

January 30, 2026 - On Linux, install from the distribution repositories if available. Once you have your Azure subscription, create a Face resource in the Azure portal to get your key and endpoint. After it deploys, select Go to resource.

... Detect human faces in an image, return face rectangles, and optionally with faceIds, landmarks, and attributes. Will analyze the face in an image and return various features of the face.

Azure Face API observability quickstart contains 1 documentation reference.

April 3, 2023 - The Azure Face service provides AI algorithms that detect, recognize, and analyze human faces in images.

The Azure AI Face service provides AI algorithms that detect, recognize, and analyze human faces in images.

Microsoft Face

February 12, 2023 - The more different angle of faces or fingerprints system records, the more chance of phone unlocking ...  → Based on the pic, Microsoft AI detects multiple attributes i.e. age, gender, head pose, smile, etc ... Manual upload access approval from Microsoft for an account (this was previously not required, now mandatory) STEP 1: Go to Azure Portal, go to Cognitive Services

January 30, 2026 - The same functionality is available through the REST API. This guide assumes that you already constructed a FaceClient object, named faceClient, using a Face key and endpoint URL. For instructions on how to set up this feature, follow one of the quickstarts. To find faces and get their locations in an image, call the DetectAsync. It takes either a URL string or the raw image binary as input. var response = await faceClient.DetectAsync(new Uri(imageUrl), FaceDetectionModel.Detection03, FaceRecognitionModel.Recognition04, returnFaceId: false); IReadOnlyList<FaceDetectionResult> faces = response.Value;

POST {endpoint}/face/{apiVersion}/detect?_overload=detect&detectionModel={detectionModel}&recognitionModel={recognitionModel}&returnFaceId={returnFaceId}&returnFaceAttributes={returnFaceAttributes}&returnFaceLandmarks={returnFaceLandmarks}&returnRecognitionModel={returnRecognitionModel}&faceIdTimeToLive={faceIdTimeToLive} ... The secret key for your Azure AI Face subscription.

To find four similar faces, the matchPerson mode returns A and B, which show the same person as the target face. The matchFace mode returns A, B, C, and D, which is exactly four candidates, even if some aren't the same person as the target or have low similarity. For more information, see the Find Similar API reference documentation.

November 29, 2018 - And voila! You should be given 2 keys! So now we can use the keys to run the sample code in the Face API documentation: https://docs.microsoft.com/en-us/azure/cognitive-services/face/quickstarts/node

February 11, 2025 - You can find the endpoint for your Face resource using the Azure Portal or Azure CLI: # Get the endpoint for the Face resource az cognitiveservices account show --name "resource-name" --resource-group "resource-group-name" --query "properties.endpoint" Either a regional endpoint or a custom subdomain can be used for authentication. They are formatted as follows: Regional endpoint: https://<region>.api.cognitive.microsoft.com/ Custom subdomain: https://<resource-name>.cognitiveservices.azure.com/

February 26, 2024 - The code snippet for face detection demonstrate how to initiate a client, authenticate with your API credentials, and submit an image for facial analysis. Then we start by detecting faces within images to understand the capabilities of Azure Face API.

October 23, 2024 - You can find the endpoint for your Face resource using the Azure Portal or Azure CLI: # Get the endpoint for the Face resource az cognitiveservices account show --name "resource-name" --resource-group "resource-group-name" --query "properties.endpoint" Either a regional endpoint or a custom subdomain can be used for authentication. They are formatted as follows: Regional endpoint: https://<region>.api.cognitive.microsoft.com/ Custom subdomain: https://<resource-name>.cognitiveservices.azure.com/

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