EmotiVision is a real-time emotion detection app using OpenCV & DeepFace. Analyzes webcam feed to detect faces & display dominant emotions. Easy to use & customize.
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Updated
Apr 7, 2024 - Python
EmotiVision is a real-time emotion detection app using OpenCV & DeepFace. Analyzes webcam feed to detect faces & display dominant emotions. Easy to use & customize.
uses a CNN model to classify the emotions on people's faces
Detect and predicts the emotions of human face using deep learning.
This is a AI project for face analysis (emotions and recognition)
Efficient face emotion recognition in photos and videos
A real time face and expressions detection with JavaScript
Learn facial expressions from an image, using the FER-2013 Dataset.
CMP5103 - Artificial Intelligence - Emotion Recognition & Report
Face Emotion Detection using CNN
Face-Emotion-Recognition using a model trained over MobileNet with an accuracy of 70%
detect facial emotions of a given Image or of live video using Fer2013 data-set
Explores the ability of a machine to guess human emotion from a relatively limited set of face shots
I made this project using tensorflow,keras and openCV.
I made this project using tensorflow,keras and openCV.
Face Expression Recognition Model built using Feature extraction from VGG pretrained model
This web app uses face-api to detect face using webcam live video feed.
Rapid, accurate, face expression inference. Transfer learning, PyTorch, OpenCV
The aim of this work is to recognize the seven emotions (happiness, sadness, disgust, surprise, fear, neutral and anger) based on human facial expressions extracted from videos. To achieve this, we are considering people of different ethnicity, age and gender where each one of them reacts very different when they express their emotions.
Super lite Flask app that can perform emotion detection
Video Analytics in Python using face-emotion-detection, speech-to-text and text-sentiment analysis pre-trained DEEP LEARNING models
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