Skip to content
#

emotion-dataset

Here are 5 public repositories matching this topic...

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.

  • Updated Jul 3, 2025
  • Jupyter Notebook

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.

  • Updated Apr 16, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the emotion-dataset topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the emotion-dataset topic, visit your repo's landing page and select "manage topics."

Learn more