Using Computer Vision to Detect Ethnicity in Videos and Improve Ethnicity Awareness

Challenge Completed!

The team of more than 40 AI engineers developed a Machine Learning algorithm to classify the ethnicities of people seen on TV and detect faces in videos.

The Problem

Ethnic diversity is one form of social complexity found in most contemporary societies. Ethnic self-identification and membership in an ascribed ethnic group are important because they control, limit, and/or enhance opportunities for well-being in society. Ethnicity awareness is a crucial part of Identity development and adolescent development in the time that we need racism awareness.

The Project Results 

The team developed a Machine Learning algorithm to classify the ethnicities of people seen on TV and detect faces in videos. Different task groups built multiple models and fine-tuned them using datasets collected through active learning processes that classify faces into six identities.

Source: Ceretai & Omdena