V

Vit Facial Expression Recognition

Developed by Alpiyildo
A facial expression recognition model based on ViT architecture, fine-tuned on the imagefolder dataset with an accuracy of 91.77%
Downloads 581
Release Time : 7/9/2024

Model Overview

This model uses the Vision Transformer (ViT) architecture, specifically designed for facial expression recognition tasks, capable of accurately classifying facial expressions in input images.

Model Features

High Accuracy
Achieves 91.77% accuracy on the evaluation set
Based on ViT Architecture
Uses the Vision Transformer architecture, suitable for image classification tasks
Fine-tuned Version
Optimized through fine-tuning for specific tasks on the base model

Model Capabilities

Facial expression recognition
Image classification
Real-time expression analysis

Use Cases

Human-Computer Interaction
Emotion Recognition System
Used to identify user facial expressions to determine emotional states
91.77% accuracy
Psychological Research
Emotional Response Analysis
Used for recording and analyzing emotional responses of subjects in psychological experiments
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