What is it all about?
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.
Video & Images
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