Beit Base Patch16 224 Pt22k Ft22k Finetuned FER2013CKPlus
This model is an image classification model based on the BEiT architecture, fine-tuned on the FER2013CKPlus dataset for facial expression recognition tasks.
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Release Time : 1/9/2023
Model Overview
This is a fine-tuned BEiT model specifically designed for facial expression recognition tasks, achieving 100% accuracy on the FER2013CKPlus dataset.
Model Features
High Accuracy
Achieved 100% accuracy on the FER2013CKPlus evaluation set
Based on BEiT Architecture
Utilizes the BEiT-base-patch16-224 architecture with powerful visual representation capabilities
Fine-tuning Optimization
Specially fine-tuned on the FER2013CKPlus dataset, suitable for facial expression recognition tasks
Model Capabilities
Facial Expression Recognition
Image Classification
Sentiment Analysis
Use Cases
Affective Computing
Facial Expression Analysis
Used to analyze facial expressions in images, identifying basic emotional states
Achieved 100% accuracy on the FER2013CKPlus dataset
Human-Computer Interaction
Emotion-aware Systems
Used to build interactive systems capable of sensing user emotional states
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