Indoor vs Outdoor Classifier

A binary image classifier that determines whether a property image is indoor or outdoor with 96% accuracy.

Model Details

Model Type: MobileNetV2-based binary classifier
Classes: Indoor, Outdoor
Accuracy: 96% on validation set
Input Size: 160x160 RGB images

Training Data

The model was trained on 2,000 curated Airbnb property images, split evenly between indoor and outdoor scenes. The dataset was manually verified to ensure high-quality training examples.

Use Cases

Real estate listing automation
Property image organization
Virtual tour preparation
Interior design vs. architecture applications

License

This model is released under MIT License.

Code Implementation

Example usage code has been provided in example_usage.py under model files.