Demographic Recognition API

99

Predict and label the age, gender, and cultural appearance of people in an image or video.

url upload file upload


API Docs
QUICK START API REQUEST
curl \
    -F 'image=YOUR_IMAGE_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/demographic-recognition 

Demographic Recognition API Documentation

Demographic Recognition cURL Examples

# Example posting a image URL:

curl \
    -F 'image=YOUR_IMAGE_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/demographic-recognition 


# Example posting a local image file:

curl \
    -F 'image=@/path/to/your/file.jpg' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/demographic-recognition 

Demographic Recognition Javascript Examples

// Get the 'deepai' package here (Compatible with browser & nodejs):
//     https://www.npmjs.com/package/deepai
// All examples use JS async-await syntax, be sure to call the API inside an async function.
//     Learn more about async-await here: https://javascript.info/async-await

// Example posting a image URL:

const deepai = require('deepai'); // OR include deepai.min.js as a script tag in your HTML

deepai.setApiKey('YOUR_API_KEY');

(async function() {
    var resp = await deepai.callStandardApi("demographic-recognition", {
            image: "YOUR_IMAGE_URL",
    });
    console.log(resp);
})()


// Example posting file picker input image (Browser only):

const deepai = require('deepai'); // OR include deepai.min.js as a script tag in your HTML

deepai.setApiKey('YOUR_API_KEY');

(async function() {
    var resp = await deepai.callStandardApi("demographic-recognition", {
            image: document.getElementById('yourFileInputId'),
    });
    console.log(resp);
})()


// Example posting a local image file (Node.js only):
const fs = require('fs');

const deepai = require('deepai'); // OR include deepai.min.js as a script tag in your HTML

deepai.setApiKey('YOUR_API_KEY');

(async function() {
    var resp = await deepai.callStandardApi("demographic-recognition", {
            image: fs.createReadStream("/path/to/your/file.jpg"),
    });
    console.log(resp);
})()

Demographic Recognition Python Examples

# Ensure your pyOpenSSL pip package is up to date
# Example posting a image URL:

import requests
r = requests.post(
    "https://api.deepai.org/api/demographic-recognition",
    data={
        'image': 'YOUR_IMAGE_URL',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example posting a local image file:

import requests
r = requests.post(
    "https://api.deepai.org/api/demographic-recognition",
    files={
        'image': open('/path/to/your/file.jpg', 'rb'),
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())

Demographic Recognition Ruby Examples

# Example posting a image URL:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/demographic-recognition', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => 'YOUR_IMAGE_URL',
    }
)
puts r


# Example posting a local image file:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/demographic-recognition', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => File.new('/path/to/your/file.jpg'),
    }
)
puts r

Demographic Recognition Csharp Examples

// Ensure your DeepAI.Client NuGet package is up to date: https://www.nuget.org/packages/DeepAI.Client
// Example posting a image URL:

using DeepAI; // Add this line to the top of your file

DeepAI_API api = new DeepAI_API(apiKey: "YOUR_API_KEY");

StandardApiResponse resp = api.callStandardApi("demographic-recognition", new {
        image = "YOUR_IMAGE_URL",
});
Console.Write(api.objectAsJsonString(resp));


// Example posting a local image file:

using DeepAI; // Add this line to the top of your file

DeepAI_API api = new DeepAI_API(apiKey: "YOUR_API_KEY");

StandardApiResponse resp = api.callStandardApi("demographic-recognition", new {
        image = File.OpenRead("C:\\path\\to\\your\\file.jpg"),
});
Console.Write(api.objectAsJsonString(resp));