Amazon Rekognition
amazonaws · Cloud
This is the API Reference for Amazon Rekognition Image , Amazon Rekognition Custom Labels , Amazon Rekognition Stored Video , Amazon Rekognition Streaming Video . It provides
Authentication
Sample Requests
Lists and describes the versions of a model in an Amazon Rekognition Custom Labels project. You can specify up to 10 model versions in ProjectVersionArns . If you don't specify a value, descriptions for all model versions in the project are returned. This operation requires per
Hover any highlighted part to learn what it does
| X-Amz-Target | RekognitionService.DescribeProjectVersions |
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjectVersions?NextToken=example&MaxResults=example" \ -H "X-Amz-Target: RekognitionService.DescribeProjectVersions"
import requests
params = {
"NextToken": "example",
"MaxResults": "example"
}
headers = {
"X-Amz-Target": "RekognitionService.DescribeProjectVersions"
}
response = requests.post(
"https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjectVersions",
params=params,
headers=headers,
)
print(response.json())const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjectVersions');
url.searchParams.set('NextToken', 'example');
url.searchParams.set('MaxResults', 'example');
const response = await fetch(url, {
method: 'POST',
headers: {
'X-Amz-Target': 'RekognitionService.DescribeProjectVersions'
},
});
const data = await response.json();
console.log(data);package main
import (
"fmt"
"io"
"net/http"
"net/url"
)
func main() {
baseURL, _ := url.Parse("https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjectVersions")
q := baseURL.Query()
q.Set("NextToken", "example")
q.Set("MaxResults", "example")
baseURL.RawQuery = q.Encode()
targetURL := baseURL.String()
req, _ := http.NewRequest("POST", targetURL, nil)
req.Header.Set("X-Amz-Target", "RekognitionService.DescribeProjectVersions")
client := &http.Client{}
resp, _ := client.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}require "net/http"
require "json"
uri = URI("https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjectVersions")
uri.query = URI.encode_www_form({
"NextToken" => "example",
"MaxResults" => "example"
})
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"
req = Net::HTTP::Post.new(uri)
req["X-Amz-Target"] = "RekognitionService.DescribeProjectVersions"
res = http.request(req)
puts JSON.parse(res.body)<?php
$url = "https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjectVersions?" . http_build_query([
"NextToken" => "example",
"MaxResults" => "example"
]);
$opts = ["http" => [
"method" => "POST",
"header" => implode("\r\n", [
"X-Amz-Target: RekognitionService.DescribeProjectVersions"
]),
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));Gets information about your Amazon Rekognition Custom Labels projects. This operation requires permissions to perform the rekognition:DescribeProjects action.
Hover any highlighted part to learn what it does
| X-Amz-Target | RekognitionService.DescribeProjects |
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjects?NextToken=example&MaxResults=example" \ -H "X-Amz-Target: RekognitionService.DescribeProjects"
import requests
params = {
"NextToken": "example",
"MaxResults": "example"
}
headers = {
"X-Amz-Target": "RekognitionService.DescribeProjects"
}
response = requests.post(
"https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjects",
params=params,
headers=headers,
)
print(response.json())const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjects');
url.searchParams.set('NextToken', 'example');
url.searchParams.set('MaxResults', 'example');
const response = await fetch(url, {
method: 'POST',
headers: {
'X-Amz-Target': 'RekognitionService.DescribeProjects'
},
});
const data = await response.json();
console.log(data);package main
import (
"fmt"
"io"
"net/http"
"net/url"
)
func main() {
baseURL, _ := url.Parse("https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjects")
q := baseURL.Query()
q.Set("NextToken", "example")
q.Set("MaxResults", "example")
baseURL.RawQuery = q.Encode()
targetURL := baseURL.String()
req, _ := http.NewRequest("POST", targetURL, nil)
req.Header.Set("X-Amz-Target", "RekognitionService.DescribeProjects")
client := &http.Client{}
resp, _ := client.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}require "net/http"
require "json"
uri = URI("https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjects")
uri.query = URI.encode_www_form({
"NextToken" => "example",
"MaxResults" => "example"
})
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"
req = Net::HTTP::Post.new(uri)
req["X-Amz-Target"] = "RekognitionService.DescribeProjects"
res = http.request(req)
puts JSON.parse(res.body)<?php
$url = "https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.DescribeProjects?" . http_build_query([
"NextToken" => "example",
"MaxResults" => "example"
]);
$opts = ["http" => [
"method" => "POST",
"header" => implode("\r\n", [
"X-Amz-Target: RekognitionService.DescribeProjects"
]),
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));Gets the celebrity recognition results for a Amazon Rekognition Video analysis started by StartCelebrityRecognition . Celebrity recognition in a video is an asynchronous operation. Analysis is started by a call to StartCelebrityRecognition which returns a job identifier (<code
Hover any highlighted part to learn what it does
| X-Amz-Target | RekognitionService.GetCelebrityRecognition |
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.GetCelebrityRecognition?NextToken=example&MaxResults=example" \ -H "X-Amz-Target: RekognitionService.GetCelebrityRecognition"
import requests
params = {
"NextToken": "example",
"MaxResults": "example"
}
headers = {
"X-Amz-Target": "RekognitionService.GetCelebrityRecognition"
}
response = requests.post(
"https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.GetCelebrityRecognition",
params=params,
headers=headers,
)
print(response.json())const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.GetCelebrityRecognition');
url.searchParams.set('NextToken', 'example');
url.searchParams.set('MaxResults', 'example');
const response = await fetch(url, {
method: 'POST',
headers: {
'X-Amz-Target': 'RekognitionService.GetCelebrityRecognition'
},
});
const data = await response.json();
console.log(data);package main
import (
"fmt"
"io"
"net/http"
"net/url"
)
func main() {
baseURL, _ := url.Parse("https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.GetCelebrityRecognition")
q := baseURL.Query()
q.Set("NextToken", "example")
q.Set("MaxResults", "example")
baseURL.RawQuery = q.Encode()
targetURL := baseURL.String()
req, _ := http.NewRequest("POST", targetURL, nil)
req.Header.Set("X-Amz-Target", "RekognitionService.GetCelebrityRecognition")
client := &http.Client{}
resp, _ := client.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}require "net/http"
require "json"
uri = URI("https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.GetCelebrityRecognition")
uri.query = URI.encode_www_form({
"NextToken" => "example",
"MaxResults" => "example"
})
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"
req = Net::HTTP::Post.new(uri)
req["X-Amz-Target"] = "RekognitionService.GetCelebrityRecognition"
res = http.request(req)
puts JSON.parse(res.body)<?php
$url = "https://api.apis.guru/v2/specs/amazonaws.com/rekognition/2016-06-27/#X-Amz-Target=RekognitionService.GetCelebrityRecognition?" . http_build_query([
"NextToken" => "example",
"MaxResults" => "example"
]);
$opts = ["http" => [
"method" => "POST",
"header" => implode("\r\n", [
"X-Amz-Target: RekognitionService.GetCelebrityRecognition"
]),
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));Postman Setup Guide
- See official documentation for authentication and setup.
What can you build with Amazon Rekognition?
Amazon Rekognition is a Cloud API. Developers commonly use cloud APIs for:
- provisioning and managing cloud infrastructure
- automating deployments and container orchestration
- monitoring uptime and performance metrics
- managing storage buckets and databases
- setting up auto-scaling and load balancing
No authentication required. This API is open — no signup or key needed. Ideal for quick prototypes and public-facing features. Amazon Rekognition is free to use, making it a low-risk choice to experiment with.
New to APIs? Read our beginner's guide