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Face Emotion

Developed by gerhardien
This model is a facial expression classifier fine-tuned on the FER2013 dataset based on Google's ViT base model, capable of classifying images into four facial expressions.
Face-related
Safetensors
Open Source License:MIT#Facial Expression Recognition#High-precision Classification#FER2013 Fine-tuning
Downloads 34
Release Time : 12/21/2024

Model Overview

An image classification model based on the Vision Transformer architecture, specifically designed for facial expression recognition tasks, fine-tuned on the FER2013 dataset.

Model Features

Efficient Expression Recognition
Based on the Vision Transformer architecture, it effectively captures facial expression features.
Lightweight Model
Uses the base ViT architecture, balancing performance and computational resource requirements.
Pre-training + Fine-tuning
Based on the ImageNet-21k pre-trained model, with targeted fine-tuning on the FER2013 dataset.

Model Capabilities

Facial Expression Recognition
Image Classification
Sentiment Analysis

Use Cases

Human-Computer Interaction
Emotion Recognition System
Used to detect users' emotional states during system interaction.
Can recognize four basic emotions.
Psychological Research
Emotional Response Analysis
Used for automatic facial expression analysis in psychological experiments.
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