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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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