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Housing Categories

Developed by Albe
An image classification model based on PyTorch and HuggingPics for identifying different types of residences.
Image Classification
Transformers
#Residential Type Recognition#High Accuracy Classification#Building Image Analysis
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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