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Classify Real Estate Pics 284
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Classify Real Estate Pics 284
Developed by Sergim
This is an image classification model built with PyTorch and HuggingPics, specifically designed for real estate image classification tasks.
Downloads 126
Release Time : 11/3/2024
Model Overview
The model can classify real estate-related images, accurately identifying different types of property pictures.
Model Features
High Accuracy
Achieved an accuracy of 95.45% on the evaluation dataset.
Ease of Use
Automatically generated via the HuggingPics tool for quick deployment and usage.
Model Capabilities
Image Classification
Real Estate Image Recognition
Use Cases
Real Estate
Property Image Classification
Automatically classify uploaded property images, such as interiors, exteriors, living rooms, bedrooms, etc.
Accuracy up to 95.45%
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