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Furniture Styles
F
Furniture Styles
Developed by playrobin
This is an image classification model based on the PyTorch framework, capable of recognizing and classifying different styles of furniture and rooms.
Downloads 53
Release Time : 6/20/2023
Model Overview
The model is automatically generated by the HuggingPics tool, focusing on classifying furniture and room styles, supporting recognition of multiple styles.
Model Features
Auto-generated
Automatically generated by the HuggingPics tool, simplifying the model creation process.
Multi-style Classification
Capable of recognizing multiple furniture and room styles, such as Scandinavian, Bohemian, Coastal, Glam, and Modern styles.
Easy to Use
Provides a Google Colab demo, allowing users to easily create their own image classifiers.
Model Capabilities
Image Classification
Furniture Style Recognition
Room Style Analysis
Use Cases
Interior Design
Furniture Style Recommendation
Recommend matching furniture styles based on user-uploaded room images.
Improves the accuracy and efficiency of furniture matching.
Style Trend Analysis
Analyze a large number of room images to identify popular style trends.
Helps designers understand market preferences.
E-commerce
Furniture Classification
Automatically classify furniture product images on e-commerce platforms.
Enhances the accuracy of search and recommendation systems.
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