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Property Room Classifier
P
Property Room Classifier
Developed by mertincesu
A lightweight classifier for determining whether indoor real estate images belong to a bathroom, bedroom, dining room, kitchen, or living room
Downloads 15
Release Time : 3/15/2025
Model Overview
An image classification model based on ResNet50, specifically designed for recognizing and classifying indoor room types, suitable for real estate-related applications.
Model Features
Lightweight Design
The model is optimized for deployment and use in resource-constrained environments.
High Accuracy
Achieves 87% classification accuracy on the validation set, reliably distinguishing between 5 common room types.
Standardized Input
Accepts 224x224 RGB images as input, compatible with common image processing workflows.
Model Capabilities
Image Classification
Room Type Recognition
Real Estate Image Analysis
Use Cases
Real Estate Technology
Automatic Classification for Real Estate Platforms
Automatically classifies and tags room images uploaded to real estate platforms
Improves real estate information management efficiency
Smart Home Scene Recognition
Identifies room types in home surveillance camera feeds
Enables scene-based smart home control
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