AIbase
EN
Home
Room Classifier
R

Room Classifier

Developed by berksaltuk
An image classification model based on PyTorch and HuggingPics, specifically designed to recognize different types of rooms.
Image Classification
Transformers
#Indoor Scene Recognition#High-precision Classification#Home Environment Analysis
Downloads 29
Release Time : 7/29/2024

Model Overview

This model can accurately classify room types, including bathrooms, bedrooms, kitchens, and living rooms, and is suitable for image recognition needs in fields such as smart homes and real estate.

Model Features

High Accuracy
The model achieved an accuracy rate of 91.11% on the test set, demonstrating excellent performance.
Ease of Use
Automatically generated via the HuggingPics framework, users can easily create their own image classifiers using Google Colab.
Versatility
Supports classification of multiple room types, including bathrooms, bedrooms, kitchens, and living rooms.

Model Capabilities

Image Classification
Room Type Recognition
Smart Home Applications

Use Cases

Smart Home
Automatic Room Recognition
Used in smart home systems to automatically identify room types and adjust corresponding home settings.
Enhances home automation levels
Real Estate
Property Photo Classification
Automatically classifies room types in property photos, facilitating property management and display.
Improves property management efficiency
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase