PM25/Facial_Expression_DL

Using ResNet to Classify Facial Expression of Images.

Facial_Expression_DL

Using ResNet to Classify Facial Expression of Images.

🛠 Development Environment

• Python 3.6.8
• PyTorch 1.2.0

💾 Dataset

• Real-world Affective Faces Database
  http://www.whdeng.cn/RAF/model1.html

🎯 Accuracy

• Overall Accuracy: 79.07%

  Test Accuracy of Surprise: 87.54%
  Test Accuracy of Fear: 44.59%
  Test Accuracy of Disgust: 40.00%
  Test Accuracy of Happiness: 89.54%
  Test Accuracy of Sadness: 73.85%
  Test Accuracy of Anger: 52.47%
  Test Accuracy of Neutral: 79.71%