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emotion-dataset

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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 Jun 16, 2026
  • Jupyter Notebook

Emotion Classification Dataset is a structured NLP dataset containing Indonesian text annotated with emotion labels and explanations. Designed for AI, sentiment analysis, and emotion detection research, the project includes CSV/JSON data, documentation, examples, and workflow assets for educational and machine learning purposes.

  • Updated May 21, 2026

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

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