Face API - v1.0

This API is currently available in:

  • Australia East - australiaeast.api.cognitive.microsoft.com
  • Brazil South - brazilsouth.api.cognitive.microsoft.com
  • Canada Central - canadacentral.api.cognitive.microsoft.com
  • Central India - centralindia.api.cognitive.microsoft.com
  • Central US - centralus.api.cognitive.microsoft.com
  • East Asia - eastasia.api.cognitive.microsoft.com
  • East US - eastus.api.cognitive.microsoft.com
  • East US 2 - eastus2.api.cognitive.microsoft.com
  • France Central - francecentral.api.cognitive.microsoft.com
  • Japan East - japaneast.api.cognitive.microsoft.com
  • Japan West - japanwest.api.cognitive.microsoft.com
  • Korea Central - koreacentral.api.cognitive.microsoft.com
  • North Central US - northcentralus.api.cognitive.microsoft.com
  • North Europe - northeurope.api.cognitive.microsoft.com
  • South Africa North - southafricanorth.api.cognitive.microsoft.com
  • South Central US - southcentralus.api.cognitive.microsoft.com
  • Southeast Asia - southeastasia.api.cognitive.microsoft.com
  • UK South - uksouth.api.cognitive.microsoft.com
  • West Central US - westcentralus.api.cognitive.microsoft.com
  • West Europe - westeurope.api.cognitive.microsoft.com
  • West US - westus.api.cognitive.microsoft.com
  • West US 2 - westus2.api.cognitive.microsoft.com
  • UAE North - uaenorth.api.cognitive.microsoft.com

LargeFaceList - Create

Create an empty large face list with user-specified largeFaceListId, name, an optional userData and recognitionModel.
Large face list is a list of faces, up to 1,000,000 faces, and used by Face - Find Similar.
After creation, user should use LargeFaceList Face - Add to import the faces and LargeFaceList - Train to make it ready for Face - Find Similar. No image will be stored. Only the extracted face feature(s) will be stored on server until LargeFaceList - Delete is called.
Find Similar is used for scenario like finding celebrity-like faces, similar face filtering, or as a light way face identification. But if the actual use is to identify person, please use PersonGroup / LargePersonGroup and Face - Identify.

'recognitionModel' should be specified to associate with this large face list. The default value for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly specify the model you need in this parameter. New faces that are added to an existing large face list will use the recognition model that's already associated with the collection. Existing face feature(s) in a large face list can't be updated to features extracted by another version of recognition model.

  • 'recognition_01': The default recognition model for LargeFaceList- Create. All those large face lists created before 2019 March are bonded with this recognition model.
  • 'recognition_02': Recognition model released in 2019 March.
  • 'recognition_03': Recognition model released in 2020 May.
  • 'recognition_04': Recognition model released in 2021 February. 'recognition_04' is recommended since its accuracy is improved on faces wearing masks compared with 'recognition_03', and its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'.
Large face list quota:
  • Free-tier subscription quota: 64 large face lists.
  • S0-tier subscription quota: 1,000,000 large face lists.

Http Method

PUT

Select the testing console in the region where you created your resource:

West US West US 2 East US East US 2 West Central US South Central US West Europe North Europe Southeast Asia East Asia Australia East Brazil South Canada Central Central India UK South Japan East Central US France Central Korea Central Japan West North Central US South Africa North UAE North Norway East West US 3 Jio India West

Request URL

Request parameters

string

Valid character is letter in lower case or digit or '-' or '_', maximum length is 64.

Request headers

string
Media type of the body sent to the API.
string
Subscription key which provides access to this API. Found in your Cognitive Services accounts.

Request body

JSON fields in request body:

Fields Type Description
name String Name of the created large face list, maximum length is 128.
userData (optional) String Optional user defined data for the large face list. Length should not exceed 16KB.
recognitionModel (optional) String The 'recognitionModel' associated with this large face list. Supported 'recognitionModel' values include "recognition_01", "recognition_02", "recognition_03", and "recognition_04". The default value is "recognition_01". "recognition_04" is recommended since its accuracy is improved on faces wearing masks compared with "recognition_03", and its overall accuracy is improved compared with "recognition_01" and "recognition_02". 

{
    "name": "large-face-list-name",
    "userData": "User-provided data attached to the large face list.",
    "recognitionModel": "recognition_03"
}

Response 200

A successful call returns an empty response body.

Response 400

Error code and message returned in JSON:

Error Code Error Message Description
BadArgument Large face list ID is invalid.
BadArgument 'name' is empty.
BadArgument 'name' is too long.
BadArgument 'userData' is too long.
BadArgument JSON parsing error.
BadArgument 'recognitionModel' is invalid. 

{
    "error": {
        "code": "BadArgument",
        "message": "'name' is too long."
    }
}

Response 401

Error code and message returned in JSON:

Error Code Error Message Description
Unspecified Access denied due to invalid subscription key. Make sure you are subscribed to an API you are trying to call and provide the right key. 

{
    "error": {
        "code": "Unspecified",
        "message": "Access denied due to invalid subscription key. Make sure you are subscribed to an API you are trying to call and provide the right key."
    }
}

Response 403

Large face list number reached maximum limit.

{
    "error": {
        "code": "QuotaExceeded",
        "message": "Large Face List number reached limit."
    }
}

Response 409

Error code and message returned in JSON:

Error Code Error Message Description
LargeFaceListExists Large face list already exists. 

{
    "error": {
        "code": "LargeFaceListExists",
        "message": "Large face list already exists."
    }
}

Response 415

Unsupported media type error. Only "application/json" is valid for this API.

{
    "error": {
        "code": "BadArgument",
        "message": "Invalid Media Type."
    }
}

Response 429

{
    "error": {
        "statusCode": 429,
        "message": "Rate limit is exceeded. Try again in 26 seconds."
    }
}

Code samples

@ECHO OFF

curl -v -X PUT "https://centralindia.api.cognitive.microsoft.com/face/v1.0/largefacelists/{largeFaceListId}"
-H "Content-Type: application/json"
-H "Ocp-Apim-Subscription-Key: {subscription key}"

--data-ascii "{body}" 

using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;

namespace CSHttpClientSample
{
    static class Program
    {
        static void Main()
        {
            MakeRequest();
            Console.WriteLine("Hit ENTER to exit...");
            Console.ReadLine();
        }
        
        static async void MakeRequest()
        {
            var client = new HttpClient();
            var queryString = HttpUtility.ParseQueryString(string.Empty);

            // Request headers
            client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "{subscription key}");

            var uri = "https://centralindia.api.cognitive.microsoft.com/face/v1.0/largefacelists/{largeFaceListId}?" + queryString;

            HttpResponseMessage response;

            // Request body
            byte[] byteData = Encoding.UTF8.GetBytes("{body}");

            using (var content = new ByteArrayContent(byteData))
            {
                content.Headers.ContentType = new MediaTypeHeaderValue("< your content type, i.e. application/json >");
                response = await client.PutAsync(uri, content);
            }
        }
    }
}	
// // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
import java.net.URI;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;

public class JavaSample 
{
    public static void main(String[] args) 
    {
        HttpClient httpclient = HttpClients.createDefault();

        try
        {
            URIBuilder builder = new URIBuilder("https://centralindia.api.cognitive.microsoft.com/face/v1.0/largefacelists/{largeFaceListId}");


            URI uri = builder.build();
            HttpPut request = new HttpPut(uri);
            request.setHeader("Content-Type", "application/json");
            request.setHeader("Ocp-Apim-Subscription-Key", "{subscription key}");


            // Request body
            StringEntity reqEntity = new StringEntity("{body}");
            request.setEntity(reqEntity);

            HttpResponse response = httpclient.execute(request);
            HttpEntity entity = response.getEntity();

            if (entity != null) 
            {
                System.out.println(EntityUtils.toString(entity));
            }
        }
        catch (Exception e)
        {
            System.out.println(e.getMessage());
        }
    }
}


<!DOCTYPE html>
<html>
<head>
    <title>JSSample</title>
    <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
</head>
<body>

<script type="text/javascript">
    $(function() {
        var params = {
            // Request parameters
        };
      
        $.ajax({
            url: "https://centralindia.api.cognitive.microsoft.com/face/v1.0/largefacelists/{largeFaceListId}?" + $.param(params),
            beforeSend: function(xhrObj){
                // Request headers
                xhrObj.setRequestHeader("Content-Type","application/json");
                xhrObj.setRequestHeader("Ocp-Apim-Subscription-Key","{subscription key}");
            },
            type: "PUT",
            // Request body
            data: "{body}",
        })
        .done(function(data) {
            alert("success");
        })
        .fail(function() {
            alert("error");
        });
    });
</script>
</body>
</html>

#import <Foundation/Foundation.h>

int main(int argc, const char * argv[])
{
    NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
    
    NSString* path = @"https://centralindia.api.cognitive.microsoft.com/face/v1.0/largefacelists/{largeFaceListId}";
    NSArray* array = @[
                         // Request parameters
                         @"entities=true",
                      ];
    
    NSString* string = [array componentsJoinedByString:@"&"];
    path = [path stringByAppendingFormat:@"?%@", string];

    NSLog(@"%@", path);

    NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
    [_request setHTTPMethod:@"PUT"];
    // Request headers
    [_request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
    [_request setValue:@"{subscription key}" forHTTPHeaderField:@"Ocp-Apim-Subscription-Key"];
    // Request body
    [_request setHTTPBody:[@"{body}" dataUsingEncoding:NSUTF8StringEncoding]];
    
    NSURLResponse *response = nil;
    NSError *error = nil;
    NSData* _connectionData = [NSURLConnection sendSynchronousRequest:_request returningResponse:&response error:&error];

    if (nil != error)
    {
        NSLog(@"Error: %@", error);
    }
    else
    {
        NSError* error = nil;
        NSMutableDictionary* json = nil;
        NSString* dataString = [[NSString alloc] initWithData:_connectionData encoding:NSUTF8StringEncoding];
        NSLog(@"%@", dataString);
        
        if (nil != _connectionData)
        {
            json = [NSJSONSerialization JSONObjectWithData:_connectionData options:NSJSONReadingMutableContainers error:&error];
        }
        
        if (error || !json)
        {
            NSLog(@"Could not parse loaded json with error:%@", error);
        }
        
        NSLog(@"%@", json);
        _connectionData = nil;
    }
    
    [pool drain];

    return 0;
}

<?php
// This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
require_once 'HTTP/Request2.php';

$request = new Http_Request2('https://centralindia.api.cognitive.microsoft.com/face/v1.0/largefacelists/{largeFaceListId}');
$url = $request->getUrl();

$headers = array(
    // Request headers
    'Content-Type' => 'application/json',
    'Ocp-Apim-Subscription-Key' => '{subscription key}',
);

$request->setHeader($headers);

$parameters = array(
    // Request parameters
);

$url->setQueryVariables($parameters);

$request->setMethod(HTTP_Request2::METHOD_PUT);

// Request body
$request->setBody("{body}");

try
{
    $response = $request->send();
    echo $response->getBody();
}
catch (HttpException $ex)
{
    echo $ex;
}

?>
########### Python 2.7 #############
import httplib, urllib, base64

headers = {
    # Request headers
    'Content-Type': 'application/json',
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.urlencode({
})

try:
    conn = httplib.HTTPSConnection('centralindia.api.cognitive.microsoft.com')
    conn.request("PUT", "/face/v1.0/largefacelists/{largeFaceListId}?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################

########### Python 3.2 #############
import http.client, urllib.request, urllib.parse, urllib.error, base64

headers = {
    # Request headers
    'Content-Type': 'application/json',
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.parse.urlencode({
})

try:
    conn = http.client.HTTPSConnection('centralindia.api.cognitive.microsoft.com')
    conn.request("PUT", "/face/v1.0/largefacelists/{largeFaceListId}?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################
require 'net/http'

uri = URI('https://centralindia.api.cognitive.microsoft.com/face/v1.0/largefacelists/{largeFaceListId}')
uri.query = URI.encode_www_form({
})

request = Net::HTTP::Put.new(uri.request_uri)
# Request headers
request['Content-Type'] = 'application/json'
# Request headers
request['Ocp-Apim-Subscription-Key'] = '{subscription key}'
# Request body
request.body = "{body}"

response = Net::HTTP.start(uri.host, uri.port, :use_ssl => uri.scheme == 'https') do |http|
    http.request(request)
end

puts response.body