Housing Categories
H
Housing Categories
Developed by Albe
An image classification model based on PyTorch and HuggingPics for identifying different types of residences.
Downloads 29
Release Time : 7/18/2022
Model Overview
This model can classify images of residential types, supporting recognition of various residences such as RVs, castles, farms, treehouses, and yurts.
Model Features
High Accuracy
Achieves an accuracy of 87.5% on residential classification tasks.
Multi-category Recognition
Capable of recognizing various types of residences, including RVs, castles, farms, treehouses, and yurts.
Easy to Use
Automatically generated via the HuggingPics tool, allowing users to easily create their own image classifiers.
Model Capabilities
Image Classification
Residential Type Recognition
Use Cases
Real Estate
Property Classification
Automatically classify residential types in property images.
Improves property classification efficiency with 87.5% accuracy.
Tourism
Accommodation Recommendation
Recommend similar types of accommodations based on user-uploaded images.
Enhances user experience and recommendation accuracy.
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