Room Classification Model
Model Details
- Model Info: A lightweight classifier that determines if the indoor property image is a Bathroom, Bedroom, Dining Room, Kitchen or Living Room
- Model Type: ResNet50-based room classifier
- Classes: 5 room types (bath, bed, din, kitchen, living)
- Accuracy: 87% on validation set
- Input Size: 224x224 RGB images
Usage
- Provided in example_usage.py file
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