Resnet 50 Finetuned FER2013 0.003 CKPlus
Facial expression recognition model fine-tuned based on ResNet-50 architecture, trained on FER2013 and CKPlus datasets
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Release Time : 1/30/2023
Model Overview
This model is a fine-tuned facial expression classifier based on the ResNet-50 architecture, specifically designed for facial expression recognition. Trained on the FER2013 and CKPlus datasets, it achieves high accuracy.
Model Features
High accuracy
Achieved 98.48% accuracy on the evaluation set
Fine-tuning optimization
Fine-tuned based on the pre-trained ResNet-50 model to adapt to facial expression recognition tasks
Efficient training
Achieved high performance within 2 training epochs using moderate batch size and learning rate
Model Capabilities
Facial expression recognition
Image classification
Emotion analysis
Use Cases
Human-computer interaction
Emotion recognition system
Used to recognize user facial expressions to improve human-computer interaction experience
Can accurately identify multiple basic facial expressions
Psychological research
Emotion research tool
Assists in facial expression analysis for psychological research
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