FACE CLASSIFICATION

Intro

We are exited to represent You the very interesting tool.

Face classification and detection.

Real-time face detection and emotion/gender classification using fer2013/IMDB datasets with a keras CNN model and openCV.

  • IMDB gender classification test accuracy: 96%.
  • fer2013 emotion classification test accuracy: 66%.

For more information please consult the publication

Emotion/gender examples:

 

Reference: FACE CLASSIFICATION

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  Posted by: @ESPYER

A face classification tool uses technology to recognise and classify various individuals or characteristics included in a face image. Classifying characteristics like age, gender, or emotion, as well as identifying and confirming a person’s identity, are some possible applications for this facial recognition technology. In the field of face image analysis, facial attribute classification is the process of classifying various facial features. Face categorisation is the process of facial identification utilising a photograph of a person’s face. Face classification is the term used to describe this type of action. Face verification, on the other hand, determines whether two images of the same person’s face are, in fact, of the same person. With this problem, many significant things can be accomplished.

Instead of using fingerprints as their primary biometric reading for access control, some businesses are beginning to adopt facial recognition technology. Images can be taken by a security camera installed at a company’s front door or in a safe area of the structure. These photos can then be compared with those in a personnel database to guarantee that only authorised employees have access.

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