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Swin Age Classifier

Developed by ibombonato
An image classification model based on the Swin architecture, specifically designed for age prediction tasks, trained on the Age Prediction Challenge dataset from the AI Crowd platform.
Downloads 69
Release Time : 3/2/2022

Model Overview

This model is an image classifier focused on predicting age from facial images. It employs the Swin Transformer architecture and was trained on a public competition dataset, achieving an accuracy of 81.75%.

Model Features

High Accuracy
Achieves an outstanding accuracy of 81.75% on the test set.
Swin Architecture-based
Utilizes the advanced Swin Transformer architecture, well-suited for vision tasks.
HuggingPics Generated
Automatically built using the HuggingPics tool, making it easy to customize and extend.

Model Capabilities

Facial image analysis
Age prediction
Image classification

Use Cases

Demographic Analysis
Retail Customer Analysis
Analyze the age distribution of customers in store surveillance videos.
Helps retailers understand shopping behaviors across different age groups.
Social Media
Content Recommendation
Recommend content based on user age.
Enhances user experience and engagement.
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