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Label Room
A PyTorch-based image classification model for recognizing 12 different room scenes.
Downloads 30
Release Time : 12/1/2023
Model Overview
This model can classify 12 common indoor and outdoor scenes, including kitchen, bathroom, living room, dining room, bedroom, etc., with an accuracy of 73.36%.
Model Features
Multi-scene recognition
Capable of recognizing 12 different indoor and outdoor scenes, covering common living and working spaces.
Auto-generated
An image classifier automatically generated via HuggingPics tool for quick deployment.
Colab support
Provides Google Colab demos for users to quickly experience and test the model.
Model Capabilities
Image classification
Scene recognition
Indoor/outdoor space classification
Use Cases
Smart home
Automatic room recognition
Smart home systems can automatically identify room types based on camera footage and adjust settings accordingly.
Improves the automation level of smart home systems
Real estate
Automatic property photo classification
Automatically adds room type labels to property photos, simplifying property management workflows.
Improves efficiency in property photo management
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