GitHub / mothukurigopi123 / 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.
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Language: Jupyter Notebook
Size: 48 MB
Dependencies parsed at: Pending
Created at: 3 days ago
Updated at: 3 days ago
Pushed at: 3 days ago
Last synced at: 3 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