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Clothes Pattern Classification V2
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Clothes Pattern Classification V2
Developed by IrshadG
A classification model for identifying clothing pattern types, supporting recognition of 21 pattern categories.
Downloads 74
Release Time : 12/6/2023
Model Overview
This model is an image classification model based on the PyTorch framework, specifically designed to identify pattern types on clothing. It is recommended to crop images before use for optimal results.
Model Features
High accuracy
Achieves 91.77% accuracy on the test set
Multi-category support
Supports recognition of 21 different clothing pattern categories
Preprocessing recommendations
Provides image cropping preprocessing recommendations for optimal results
Model Capabilities
Clothing pattern recognition
Image classification
Multi-category classification
Use Cases
Fashion e-commerce
Automatic product tagging
Automatically identifies pattern types in clothing product images
Improves product classification efficiency and reduces manual labeling costs
Fashion design
Design element analysis
Analyzes the distribution of pattern elements in clothing designs
Helps designers understand market trends
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