Face Emotion Recognition using FER2013 dataset. Test accuracy: 69.35%
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Updated
Dec 3, 2020 - Python
Face Emotion Recognition using FER2013 dataset. Test accuracy: 69.35%
Face-Emotion-Recognition using a model trained over MobileNet with an accuracy of 70%
Build a full stack application with object-face-emotion recognition
Recognising facial emotions using a library from pytorch
Face Detection and Emotion Recognition models to capture and interpret facial expressions
CMP5103 - Artificial Intelligence - Emotion Recognition & Report
Facial Emotion Recognition (FER) is a computer vision task aimed at identifying and categorizing emotional expressions depicted on a human face. The goal is to automate the process of determining emotions in real-time, by analyzing the various features of a face.
PERSONALISED AI ASSISTANT - IRIS is an AI personal assistant designed as a companion with whom a person can share their emotions and feelings with. IRIS can reply with an appropriate response to help a person cope with their situation better.
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