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Roomidentifier
R
Roomidentifier
Developed by lazyturtl
An image classification model based on PyTorch and HuggingPics, capable of recognizing five different types of rooms.
Downloads 30
Release Time : 3/30/2022
Model Overview
This model is designed for image classification tasks, specifically identifying five room types: bathroom, bedroom, dining room, kitchen, and living room.
Model Features
High accuracy
Achieved 93.75% accuracy on the test set.
Ease of use
Automatically generated via HuggingPics tool for quick deployment and usage.
Multi-category recognition
Capable of recognizing five different room types.
Model Capabilities
Image classification
Room type recognition
Use Cases
Smart home
Automatic room classification
Used in smart home systems to automatically identify and classify room types.
Accuracy rate of 93.75%
Real estate
Property image classification
Automatically classify room images on real estate websites.
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