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Room Classifier V1

Developed by Tater86
A custom image classifier built with PyTorch and HuggingPics, specifically designed to recognize different types of rooms and architectural spaces.
Downloads 1,062
Release Time : 4/4/2024

Model Overview

This model can classify images into 13 types of rooms/spaces, including aerial views, bathrooms, bedrooms, dining rooms, etc., with an accuracy of 89.13%.

Model Features

High Accuracy
Achieves 89.13% classification accuracy on the test set.
Multi-category Recognition
Supports classification of 13 different room/space types.
Ease of Use
Quickly generates custom classifiers using the HuggingPics tool.

Model Capabilities

Image Classification
Space Recognition
Architectural Scene Understanding

Use Cases

Real Estate
Automatic Property Photo Classification
Automatically categorizes property photos into different room types.
Improves image management efficiency on real estate platforms.
Smart Home
Home Space Recognition
Identifies different home spaces captured by smart home cameras.
Provides spatial awareness for smart devices.
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