PresentID Face detection API can detect the face(s) in your image and retrieve some features such as Age, Gender, Landmarks, etc.

Input:

• Image file
• Image URL link
• Base64 image

Output:

• Rectangle
• Age
• Gender
• Face landmarks
• Blur
• Rotate Angel

Features

• Recall rate at 100 FP on FDDB: 87.3
• Detect faces and get back the attributes such as rectangle, Gender, age.
• Detect all small and large faces.
• High-precision detection of size; pitch, roll, yaw, and 14-point key landmarks.
• Low resource and impressive high performance.
• Robust detection of faces with rotation, glasses, etc.
• Support IOS, Android, Windows, and Mac devices.
• Detect faces from video.
• The smallest faces are detected (50px * 50px).
• Easy integration with your app.

Use Cases:

• Access Control
• Onboarding
• Fintech
• Car sharing & Taxi
• Online Brokers
• Health Care
• Dating Apps
• Customer Support

Rules & Restrictions:

• Send data via Base64 or an image URL or an image file.
• Image size should not exceed 8 MB.
• Also, the images should not be larger than 5000 pixels and smaller than 50 pixels.

Python Quick Start

  import requests

  api_url = 'https://face-recognition4.p.rapidapi.com/FaceDetection'
  api_key = 'Your API Key'

  image_path = 'Image directory path'
  image_name = 'Image name'

  files = {'Photo': (image_name, open(image_path + image_name, 'rb'), 'multipart/form-data')}
  header = {
      "x-rapidapi-host": "face-recognition4.p.rapidapi.com",
      "x-rapidapi-key": api_key
      }
  response = requests.post(api_url, files=files, headers=header)