GitHub / Bananacat123-hue / Facial_Expression_Recognition-Sure_Trust-
Facial Expression Recognition System using YOLOv9 & Flask. Detects 5 emotions (Angry, Happy, Natural, Sad, Surprised) from images/live camera with mAP50 of 0.731. Features a web interface with file uploads, real-time processing, & emoji feedback. Built with Python, OpenCV, Flask, HTML/CSS/JS. Ideal for HCI & emotion analysis.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Bananacat123-hue%2FFacial_Expression_Recognition-Sure_Trust-
PURL: pkg:github/Bananacat123-hue/Facial_Expression_Recognition-Sure_Trust-
Stars: 4
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 47.9 MB
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: 20 days ago
Pushed at: 20 days ago
Last synced at: 20 days ago
Topics: computer-vision, deep-learning, emoji-suggestions, emotion-dataset, face-emotion-recognition, flask, image-classification, opencv, python, roboflow-dataset, sure-trust, tensorflow, yolov9