resnet-50_ferplus

Fine-Tuned ResNet-50 on FERPlus Dataset

This model is a fine-tuned version of ResNet-50 on the FERPlus dataset, which is more balanced ferplus dataset as owner claimed.

Model Details

• Base Model: Microsoft ResNet-50
• Dataset: FERPlus, which contains grayscale images of faces labeled with emotion categories.
• Task: Emotion Classification
• Labels:
  • 0: Angry
  • 1: Contempt
  • 2: Disgust
  • 3: Fear
  • 4: Happy
  • 5: Neutral
  • 6: Sad
  • 7: Surprise

Preprocessing Details

This model was fine-tuned on FERPlus dataset images resized to 224x224 pixels. Standard data augmentation techniques were applied, and normalization was performed with the following values:

• Mean: [0.485, 0.456, 0.406]
• Standard Deviation: [0.229, 0.224, 0.225]

Training Hyperparameters

• Batch Size: 16
• Epochs: 10
• Learning Rate: 2e-5
• Weight Decay: 0.01