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Beit Base Patch16 224 Pt22k Ft22k Finetuned FER2013CKPlus
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Beit Base Patch16 224 Pt22k Ft22k Finetuned FER2013CKPlus

Developed by Celal11
This model is an image classification model based on the BEiT architecture, fine-tuned on the FER2013CKPlus dataset for facial expression recognition tasks.
Image Classification
Transformers
Open Source License:Apache-2.0#Facial Expression Recognition#High Accuracy#Fine-tuned Model
Downloads 19
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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