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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)
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