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+# 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))