25,000 images categorized into residential house rooms and outdoor street scenes. The dataset provides a visual repository for analyzing both interior living spaces and exterior urban environments.
Use Cases
- Train a scene classification model to label images as either 'rooms' or 'streets'
- Develop an object detection algorithm to identify common household items within the room images
- Analyze street-level imagery for urban planning and infrastructure assessment
Strengths
- 25,000 images spanning residential and urban environments
- Categorized into interior house rooms and exterior street views
- Visual data source for architectural and urban scene recognition