Face Detection

फ्रीमियम
Verified
द्वारा PresentID | अपडेट किया गया 2 महीने पहले | Visual Recognition
लोकप्रियता

8.3 / 10

लेटेंसी

940ms

सेवा का स्तर

100%

Face Detection अवलोकन

फॉलोवर: 49
संसाधन:
उत्पाद वेबसाइट
API निर्माता:
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PresentID
PresentID
API को रेट करें:
API को रेट करने के लिए लॉग इन करें

रीडमी

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)
रेटिंग: 5 - वोट: 1