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Resnet 50 Finetuned FER2013CKPlus 0.003
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Resnet 50 Finetuned FER2013CKPlus 0.003

Developed by Celal11
A facial expression recognition model fine-tuned based on the ResNet-50 architecture, trained on the FER2013 and CK+ datasets, achieving an accuracy of 1.0
Image Classification
Transformers
Open Source License:Apache-2.0#Fine-tuned Image Classification#High Accuracy#Facial Expression Recognition
Downloads 59
Release Time : 1/30/2023

Model Overview

This model is a facial expression classifier based on the ResNet-50 architecture, fine-tuned on the FER2013 and CK+ datasets, specifically designed for high-precision facial expression recognition tasks.

Model Features

High Accuracy
Achieved an accuracy of 1.0 on the evaluation set, demonstrating excellent performance
Fine-tuning Optimization
Fine-tuned the pre-trained ResNet-50 model on specific datasets for optimal performance
Efficient Training
Used the Adam optimizer and linear learning rate scheduler for efficient and stable training

Model Capabilities

Facial Expression Recognition
Image Classification
Emotion Analysis

Use Cases

Affective Computing
Real-time Facial Expression Analysis
Used for real-time expression recognition in video conferences or social media
Accurately identifies various facial expressions
Psychology Research Tool
Assists in analyzing emotional responses in psychological studies
Provides objective emotion recognition data
Human-Computer Interaction
Intelligent Customer Service Emotion Perception
Enhances the ability of intelligent customer service systems to understand user emotions
Improves customer service interaction experience
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