Face Emotion Detection using Swin Transformer
📌 Model Description
This model detects human facial emotions from images using a Swin Transformer architecture.
😊 Supported Emotions
- Angry
- Disgust
- Fear
- Happy
- Sad
- Surprise
- Neutral
📊 Dataset
Trained on: FER2013 dataset
⚙️ Model Details
- Architecture: Swin Transformer (swin_tiny_patch4_window7_224)
- Framework: PyTorch
- File: model.pth
🚀 How to Use
1. Install dependencies
pip install torch timm pillow