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Resnet 50 Finetuned FER2013 0.001
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Resnet 50 Finetuned FER2013 0.001

Developed by Celal11
A facial expression recognition model fine-tuned based on the ResNet-50 architecture, trained on the FER2013 dataset with an accuracy of 68.47%
Image Classification
Transformers
Open Source License:Apache-2.0#Fine-tuned ResNet50#Facial Expression Recognition#Image Classification Optimization
Downloads 295
Release Time : 1/26/2023

Model Overview

This model is a fine-tuned version of microsoft/resnet-50 for image classification tasks, specifically designed for facial expression recognition.

Model Features

High Accuracy
Achieves 68.47% accuracy on the FER2013 dataset
Fine-tuning Optimization
Fine-tuned based on the ResNet-50 pre-trained model for targeted optimization
Stable Training
Employs linear learning rate scheduling and warm-up strategies for stable convergence during training

Model Capabilities

Facial Expression Recognition
Image Classification
Sentiment Analysis

Use Cases

Affective Computing
Real-time Expression Recognition
Used for real-time expression analysis in video conferences or social media
Can recognize 7 basic expressions
Human-Computer Interaction
Serves as emotional feedback input for smart devices
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