Emotion detection typically categorizes emotions into basic or complex categories such as happiness, sadness, anger, fear, surprise, disgust, and sometimes more nuanced emotions like confusion, excitement, or trust. These categories can vary depending on the specific application and dataset.
Emotion Recognition is a cutting-edge deep learning project designed to detect and classify human emotions based on facial expressions. Using a Convolutional Neural Network (CNN), the model is trained on the FER2013 dataset and can accurately recognize seven distinct emotions
Emotion Detector app to detect realtime facial expression using Kotlin.
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