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Roomclassifier
An image classification model based on PyTorch that can accurately identify pictures of different room types.
Downloads 403
Release Time : 3/31/2022
Model Overview
This model is specifically designed for image classification tasks and can recognize various room types including bathrooms, bedrooms, dining rooms, kitchens, laundry rooms, and living rooms.
Model Features
High accuracy
Achieved an accuracy of 94.03% on the test dataset, demonstrating excellent performance.
Multi-category recognition
Capable of recognizing six different room types, covering common indoor scenes.
Ease of use
Provides a Google Colab demo, allowing users to easily create their own image classifiers.
Model Capabilities
Image classification
Indoor scene recognition
Use Cases
Smart home
Automatic room recognition
Used in smart home systems to automatically identify room types and adjust corresponding settings
Enhances the intelligence level of home automation systems
Real estate
Property image classification
Automatically classifies room images on real estate websites
Improves the efficiency of property information management
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