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Resnet 50 Finetuned FER2013 0.003 CKPlus
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Resnet 50 Finetuned FER2013 0.003 CKPlus

Developed by Celal11
Facial expression recognition model fine-tuned based on ResNet-50 architecture, trained on FER2013 and CKPlus datasets
Face-related
Transformers
Open Source License:Apache-2.0#High-precision facial expression recognition#Fine-tuned ResNet50#Real-time emotion analysis
Downloads 29
Release Time : 1/30/2023

Model Overview

This model is a fine-tuned facial expression classifier based on the ResNet-50 architecture, specifically designed for facial expression recognition. Trained on the FER2013 and CKPlus datasets, it achieves high accuracy.

Model Features

High accuracy
Achieved 98.48% accuracy on the evaluation set
Fine-tuning optimization
Fine-tuned based on the pre-trained ResNet-50 model to adapt to facial expression recognition tasks
Efficient training
Achieved high performance within 2 training epochs using moderate batch size and learning rate

Model Capabilities

Facial expression recognition
Image classification
Emotion analysis

Use Cases

Human-computer interaction
Emotion recognition system
Used to recognize user facial expressions to improve human-computer interaction experience
Can accurately identify multiple basic facial expressions
Psychological research
Emotion research tool
Assists in facial expression analysis for psychological research
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