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Beit Base Patch16 224 Pt22k Ft22k Finetuned FER 5e 05 3
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Beit Base Patch16 224 Pt22k Ft22k Finetuned FER 5e 05 3

Developed by lixiqi
A facial expression recognition model fine-tuned based on Microsoft BEiT, achieving 68.6% accuracy on the FER dataset
Image Classification
Transformers
Open Source License:Apache-2.0#Facial Expression Recognition#High-precision Classification#Fine-tuned Model
Downloads 17
Release Time : 2/12/2023

Model Overview

This model is a facial expression recognition model fine-tuned on Microsoft's BEiT base model, specifically designed for image classification tasks, particularly facial expression recognition.

Model Features

High-precision Facial Expression Recognition
Achieves 68.6% accuracy on the FER dataset
Based on BEiT Architecture
Utilizes advanced vision Transformer architecture for image understanding
Efficient Fine-tuning
Fine-tuned with a learning rate of 5e-05 to optimize model performance

Model Capabilities

Facial Expression Recognition
Image Classification
Sentiment Analysis

Use Cases

Affective Computing
Facial Expression Analysis
Identifies basic emotional states of individuals in images
Achieves 68.6% accuracy on the test set
Human-Computer Interaction
Emotion-aware Systems
Used to build human-computer interaction systems capable of sensing user emotions
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