Recognizing Human Emotions Based On Hidden & Micro-facial Expressions
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M MissionOur mission is to give Project M the ability to understand human emotions and interact with them. Thereby, becoming a true companion and friend to humans, Project M wants to ensure no one will be lonely or emotionally vulnerable.
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M SolutionProject M is trained on input data that is based on 8 basic emotions with more than 200,000 accurately classified training data. Nearly 400,000 sophisticated sub-classifications are behind of the basic 8 emotions. Combining with our own designed CNN-Keras based Algorithm, M completely outstands against current leader Microsoft Azure. In order to create Project M, the team has invested more than 96,000 hours as of November 1, 2020.
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The story of M
We appreciate Microsoft, the leader of the industry and emotional AI sector, for allowing the general public to test their testing site for identifying human emotions based on facial expressions.
The sample input data we are using is the pure testing data that is completely new to M and Microsoft (assumed) and is never been used to train M, so this comparison is a fair trial between M and Microsoft.
The sample input data we are using is the pure testing data that is completely new to M and Microsoft (assumed) and is never been used to train M, so this comparison is a fair trial between M and Microsoft.
Project M is a of Google Cloud technology partner and a member of Nvidia's Inception Program