Facial demographics for marketing and planning

Visual Faces

Detect and recognize faces in your images and videos with our AI-enabled technology. It provides the location of the detected faces, and can perform facial matches to find target subjects. Additionally, you can gather demographic information of people.

The age and gender recognition library can be integrated into software that needs accurate estimation of audience demographics from facial images. It is robust under different lighting conditions and different angles. It can operate on embedded hardware, on-premise servers or can be deployed as cloud API.

Facial detection & recognition
Add your gallery of images and start recognizing custom faces immediately.
Facial demographics
Estimate age and gender of people with our facial analysis model.
Real Life Use Cases
  • Intelligent Video Surveillance
  • Digital Signage
  • In-store Analytics
  • Traffic Analytics
  • Tagging of Video and Images
  • Targeted Advertising
  • try 276 face demo Age & gender live demo

    Technical Details

    The age and gender classifier is a neural network model in TensorFlow format. It is is based on the fast MobileNet neural network architecture. It runs in real time on CPU of a regular PC while at the same time achieves state-of-art accuracy. One facial image classification takes 35 milliseconds on Intel i5 CPU. For faster inference a NVIDIA GPU is recommended to be used. There are many ways to integrate the age and gender classifier into your software. For example, the model can be opened in OpenCV by DNN module. It is also possible to use TensorFlow library and to run the classifier using C++ or Python. Another option is to use TensorFlow Serving, which is a high-performance serving system for machine learning models, designed for production environments. It exposes RESTful API (in port 8501) and gRPC interface (in port 8500). The model server can be packaged in Docker container and to be hosted on the cloud or On-Premises servers.


    • Face detection range: 276 Degree
    • Age range: 0 - 100 (in one-year intervals)
    • Genders: male, female
    • Minimum face size: 30x30 pixels
    • Gender Recognition Accuracy: 98.3%
    • Age Estimation Mean Absolute Error: 5.5 years
    • Speed: 35 milliseconds on Intel Core i5-7600 CPU

    224x224 Model Benchmark

    Company Gender prediction accuracy (%) Age estimation mean absolute error (in years)
    Planetoid AI 98.3% 5.5
    Microsoft 96.9% 8.5
    Skybiometry 92.9% 7.2
    Sighthound 91.1% 8.1
    Eyedea 90.7% 8.0
    VisageCloud 91.1% 9.1

    Business Applications

    Intelligent Video Analytics

    Intelligent Video Analytics

    Public safety and security organizations can include advanced search and car analytics functionalities into their software to find or redact relevant information in video records.

    Targeted Advertising

    Targeted Advertising

    Marketing and retail specialists can use our age and gender estimation to target their ads, content, products, or shelf placement towards a specific audience.

    Digital Asset Management

    Digital Asset Management

    Organizing, storing, and retrieving multimedia content like photos and videos. Building searchable car image databases for video and image archives.


    Chat support

    Hi. My name is Luna. How can I help you?