zlpure/Facial-Expression-Recognition
:bulb:My Solution to Facial Emotion Recognization in Kaggle competition
This project helps classify human facial expressions into seven basic emotions: angry, disgust, fear, happy, sad, surprise, or neutral. It takes grayscale images of faces as input and outputs the corresponding emotional label. This would be useful for researchers or developers working on systems that need to understand or react to human emotions, such as in user experience analysis or empathetic AI.
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Use this if you need a pre-trained model for recognizing basic human emotions from facial images.
Not ideal if you require real-time analysis of nuanced or subtle emotions, or if your images are not similar to the provided 48x48 pixel grayscale format.
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MIT
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Last pushed
May 09, 2019
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