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Fashion Images Gender Age Vit Large Patch16 224 In21k V3
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Fashion Images Gender Age Vit Large Patch16 224 In21k V3

Developed by touchtech
This model is a vision Transformer model fine-tuned on a fashion image gender and age classification dataset based on Google's ViT-Large architecture, achieving 99.6% accuracy on the evaluation set.
Image Classification
Transformers
Open Source License:Apache-2.0#Fashion Image Classification#High-precision Recognition#Gender and Age Prediction
Downloads 286
Release Time : 9/12/2023

Model Overview

A vision Transformer model for gender and age classification in fashion images, suitable for clothing recognition and analysis scenarios.

Model Features

High Accuracy
Achieves 99.6% accuracy on fashion image gender and age classification tasks.
Based on ViT-Large Architecture
Uses the Vision Transformer Large architecture with powerful image feature extraction capabilities.
Few-shot Fine-tuning
Delivers excellent performance through fine-tuning with a small number of samples on specific datasets.

Model Capabilities

Image Classification
Fashion Image Analysis
Gender Recognition
Age Prediction

Use Cases

E-commerce
Clothing Recommendation System
Recommends suitable clothing based on user gender and age characteristics.
Improves recommendation accuracy and user satisfaction.
Market Analysis
Consumer Profile Analysis
Analyzes the gender and age distribution of clothing buyers.
Helps businesses develop precise marketing strategies.
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