README.md

# Jerusalem Streetscapes Dataset

A small image dataset containing photos of the rapidly changing urban landscape of Jerusalem, Israel, captured by day and by night.

## About

This dataset documents the evolving cityscape of Jerusalem through 120 photographs taken between June 2024 and September 2025.

## Dataset Details

- **Number of Images**: 120
- **Time Period**: June 2024 - September 2025
- **Location**: Jerusalem, Israel
- **Coverage**: Day and night photography of urban landscapes

## Potential ML/AI Use Cases

This dataset can be used for various machine learning and computer vision applications:

- **Day/Night Classification**: Training models to distinguish between daytime and nighttime urban scenes
- **Urban Change Detection**: Analyzing temporal changes in the urban landscape and construction patterns
- **Architectural Style Recognition**: Identifying distinctive Jerusalem architectural features and building styles
- **Image Enhancement**: Training models for low-light enhancement and night photography optimization
- **Scene Understanding**: Urban scene segmentation and object detection in Middle Eastern cityscapes
- **Transfer Learning**: Fine-tuning pre-trained models on Jerusalem-specific urban features
- **Time-of-Day Estimation**: Predicting approximate time of day from lighting conditions and shadows
- **Urban Planning Analysis**: Studying patterns of urban development and infrastructure changes
- **Style Transfer**: Learning artistic and photographic styles specific to Jerusalem's unique landscape

## Author

Photos taken by Daniel Rosehill ([danielrosehill.com](https://danielrosehill.com))