Betaface API is a facial recognition and detection web service. Features include multiple faces detection, faces cropping, 123 face points detection (22 basic, 101 advanced), faces verification, identification, similarity search in very large databases (> 1 million faces), gender, age, ethnicity, emotion estimation, glasses, mustache, beard and hairstyle detection, face and facial features description, eyes, hair, skin, clothes and background colors.
The following is a list of SDKs from our SDK directory that matched your search term. Though your definition of an SDK may differ, in our world, we define SDKs as platform- specific tools for consuming existing APIs of the sort we list in our API directory. For example, the Ruby SDK for consuming the Twitter Ads API. If you think an SDK, API, or other asset is missing from our directory, be sure to check our guidelines for making contributions to ProgrammableWeb.
The Betaface Python SDK by Andrei-Adnan Ismail allows API interaction to access recognition data, useful for identity verification projects. Code displays how to recognize faces, obtain image information, and authenticate results.
The Betaface SDK, with Face Detection and Recognition, is a Windows DLL library that applies complex algorithms designed to detect a set of pre-programmed facial characteristics within images as well as videos. These features include general face info such as position, size, angle, 8 standard facial landmarks, gender, age ethnicity, and more. Extended measurements can include more detailed specific information like facial hair, glasses, hairstyle, skin color, clothes, background color, and more. The SDK can be accessed from multiple environments, as long as a call is made to DLL, COM object, or .Net.
For detailed information see http://betaface.com/wpa/wp-content/uploads/2014/01/Betaface-SDK.pdf