AIbase
EN
Home
Vit Age Classifier
V

Vit Age Classifier

Developed by ibombonato
An image classification model based on the Vision Transformer (ViT) architecture, specifically designed for age classification tasks, automatically generated by HuggingPics.
Image Classification
Transformers
#Age Recognition#High-Precision Classification#ViT Architecture
Downloads 42
Release Time : 3/2/2022

Model Overview

This model is an image classifier primarily used to identify age categories in images. It is based on the Vision Transformer architecture and automatically trained and generated via the HuggingPics tool.

Model Features

Automatically Generated
Automatically trained and generated via the HuggingPics tool, simplifying the creation process of image classifiers.
Based on ViT Architecture
Utilizes the advanced Vision Transformer architecture to provide efficient image classification capabilities.
High Accuracy
Achieves an accuracy rate of 83.65% in age classification tasks.

Model Capabilities

Image Classification
Age Recognition

Use Cases

Demographics
Age Distribution Analysis
Analyze the age distribution of people in photos
Automatically calculates the proportion of different age groups
Social Media
Content Recommendation
Recommend relevant content based on the age characteristics in user photos
Improves the precision of content recommendations
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase