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Fairface Age Image Detection
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Fairface Age Image Detection

Developed by dima806
An image classification model based on Vision Transformer architecture, pre-trained on the ImageNet-21k dataset, suitable for multi-category image classification tasks
Image Classification
Transformers
Open Source License:Apache-2.0#Age Group Classification#Facial Attribute Analysis#Multi-age Recognition
Downloads 76.6M
Release Time : 12/6/2024

Model Overview

This model utilizes the Vision Transformer (ViT) architecture, specifically designed for image classification tasks. Fine-tuned on the fairface dataset, it can be used to predict age group classification of facial images.

Model Features

Transformer-based Vision Model
Employs the advanced Vision Transformer architecture instead of traditional CNNs, providing better global feature understanding
Large-scale Pre-training
Pre-trained on the ImageNet-21k dataset, with powerful feature extraction capabilities
Multi-age Group Classification
Specifically optimized for facial age group classification tasks

Model Capabilities

Image Classification
Facial Analysis
Age Group Prediction

Use Cases

Demographic Analysis
Retail Customer Analysis
Analyze the age group distribution of store customers
Can identify the proportion of customers in different age groups
Social Media Analysis
Analyze the age group distribution of user images on social media
Provides user profiling data
Security Monitoring
Age Verification
Verify if users meet age restriction requirements
Accuracy approximately 59%
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