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The official PASS Blog is where you’ll find the latest blog posts from PASS community members and the PASS Board. Contributors share their thoughts and discuss a wide variety of topics spanning PASS and the data community.

Speaker Diversity Analytics with the AI Face API

How do we increase diversity amongst our event speakers?  To improve something, we must first measure it.  The Face API allows us to collect some of these demographics from past events that we may not otherwise be able to collect, which may allow us greater insight into how we can improve these trends.

The Facial Recognition API is part of the Microsoft AI Cognitive Services suite.  The Face service detects human faces in an image and returns the rectangle coordinates of their locations. Optionally, face detection can extract a series of face-related attributes. Examples are head pose, gender, age, emotion, facial hair, and glasses.  The Face API is Azure based and is a subset of the Vision API functionality.  To leverage the Face API an image can be programmatically sent to the API via a number of languages.  Along with the image file, the caller can also submit parameters detailing which subset of return values to send back.

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