mayankchaudhary26/Emotion_Detection_CNN_keras
Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.
This tool helps you automatically identify and categorize human emotions like anger, happiness, or sadness from facial expressions in images or live video feeds. It takes a visual input of a face and outputs one of seven distinct emotions. This is useful for researchers studying human behavior, user experience designers analyzing reactions, or anyone needing to quantify emotional responses.
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Use this if you need to quickly and automatically classify the emotional state of individuals based on their facial expressions.
Not ideal if you require nuanced emotional analysis beyond seven basic categories or need to detect emotions from non-visual cues like tone of voice.
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Oct 25, 2021
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