Add Tel Aviv urban photography dataset for game development

This dataset contains 53 high-quality photographs of Tel Aviv's urban environment, optimized for game development, 3D world creation, and digital environment design.

Dataset features:
- 53 sequentially numbered images (telaviv_001.jpg - telaviv_053.jpg)
- Comprehensive metadata CSV with file info and photographer details
- Hugging Face dataset loading script (tel_aviv_pics.py)
- Detailed README with use cases for game dev, 3D modeling, and AI/ML
- All photographs by Daniel Rosehill, also available on Pexels
- CC-BY-4.0 license for commercial and non-commercial use

Intended for:
- Environmental reference for urban game levels
- Texture extraction and 3D asset creation
- Photogrammetry and world building
- AI/ML training for urban scene generation
- Architectural visualization and concept art

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

README.md

@@ -0,0 +1,227 @@
+---
+license: cc-by-4.0
+task_categories:
+- image-to-image
+- image-to-3d
+- text-to-image
+tags:
+- urban-environments
+- game-development
+- 3d-modeling
+- world-building
+- city-scenes
+- tel-aviv
+- middle-east
+- architecture
+- photogrammetry
+- reference-images
+pretty_name: Tel Aviv Urban Photography Dataset
+size_categories:
+- n<1K
+---
+
+# Tel Aviv Urban Photography Dataset
+
+## Dataset Description
+
+This dataset contains 53 high-quality photographs of Tel Aviv's urban environment, captured to serve as reference material for game development, 3D world creation, and digital environment design.
+
+### Dataset Summary
+
+- **Total Images**: 53 photographs
+- **Location**: Tel Aviv, Israel
+- **Format**: JPG
+- **Average Size**: ~1MB per image
+- **Resolution**: High-resolution photographs suitable for texture extraction and reference
+- **License**: CC-BY-4.0
+- **Photographer**: Daniel Rosehill
+- **Also Available**: [Pexels Portfolio](https://www.pexels.com/@danielrosehill/)
+
+### Intended Use Cases
+
+This dataset is specifically designed for:
+
+1. **Game Development**
+   - Environmental reference for urban game levels
+   - Texture extraction for 3D assets
+   - Architectural style reference
+   - Urban planning layouts
+   - Lighting and atmosphere studies
+
+2. **3D World Creation**
+   - Photogrammetry source material
+   - Environment modeling reference
+   - Urban scene composition
+   - Building facade textures
+   - Street-level detail reference
+
+3. **AI/ML Applications**
+   - Training data for urban scene generation models
+   - Style transfer for Middle Eastern urban environments
+   - Image-to-3D model training
+   - Urban object detection and segmentation
+   - Generative AI fine-tuning for architectural styles
+
+4. **Digital Art & Design**
+   - Concept art reference
+   - Matte painting source material
+   - Architectural visualization
+   - Urban design studies
+
+### Dataset Structure
+
+```
+Tel-Aviv-Pics/
+├── README.md
+├── data/
+│   └── images/
+│       ├── telaviv_001.jpg
+│       ├── telaviv_002.jpg
+│       └── ... (53 images total)
+├── metadata.csv
+└── tel_aviv_pics.py (dataset loading script)
+```
+
+Images are named sequentially as `telaviv_001.jpg` through `telaviv_053.jpg`.
+
+### Image Characteristics
+
+The photographs capture various aspects of Tel Aviv's urban landscape:
+- **Architecture**: Modern buildings, residential areas, commercial districts
+- **Street scenes**: Urban infrastructure, roads, sidewalks
+- **Lighting conditions**: Various times of day and weather conditions
+- **Perspectives**: Ground-level, elevated views, architectural details
+- **Urban elements**: Signage, street furniture, vegetation, utilities
+
+### Usage
+
+#### Using with Hugging Face Datasets
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("danielrosehill/Tel-Aviv-Pics")
+
+# Access images
+for item in dataset['train']:
+    image = item['image']
+    filename = item['filename']
+    # Process image for your use case
+```
+
+#### For Game Development
+
+```python
+# Example: Extract textures for 3D modeling
+from PIL import Image
+from datasets import load_dataset
+
+dataset = load_dataset("danielrosehill/Tel-Aviv-Pics")
+
+for item in dataset['train']:
+    img = item['image']
+    # Process for texture atlases
+    # Extract architectural elements
+    # Generate normal maps
+```
+
+#### For AI Training
+
+```python
+# Example: Fine-tune a diffusion model on urban scenes
+from datasets import load_dataset
+
+dataset = load_dataset("danielrosehill/Tel-Aviv-Pics")
+
+# Use with your preferred training framework
+# Hugging Face Diffusers, Stable Diffusion, etc.
+```
+
+### Data Fields
+
+- `image`: PIL Image object
+- `filename`: Image filename (telaviv_NNN.jpg)
+- `image_number`: Sequential number (001-053)
+- `file_size_bytes`: File size in bytes
+- `photographer`: Daniel Rosehill
+- `photographer_url`: https://www.pexels.com/@danielrosehill/
+- `location`: Tel Aviv Israel
+
+### Licensing Information
+
+This dataset is released under the **Creative Commons Attribution 4.0 International (CC-BY-4.0)** license.
+
+**You are free to:**
+- Share — copy and redistribute the material in any medium or format
+- Adapt — remix, transform, and build upon the material for any purpose, even commercially
+
+**Under the following terms:**
+- Attribution — You must give appropriate credit to photographer Daniel Rosehill
+
+**Image Source**: All photographs were taken by Daniel Rosehill and are also available on his [Pexels portfolio](https://www.pexels.com/@danielrosehill/). The images comply with the Pexels License, allowing free use for commercial and non-commercial purposes.
+
+### Citation
+
+If you use this dataset in your research or project, please cite:
+
+```bibtex
+@dataset{tel_aviv_pics_2025,
+  title={Tel Aviv Urban Photography Dataset},
+  author={Rosehill, Daniel},
+  year={2025},
+  publisher={Hugging Face},
+  howpublished={\url{https://huggingface.co/datasets/danielrosehill/Tel-Aviv-Pics}}
+}
+```
+
+### Geographic and Cultural Context
+
+**Location**: Tel Aviv-Yafo, Israel
+- Major metropolitan area on the Mediterranean coast
+- UNESCO World Heritage Site (White City - Bauhaus architecture)
+- Modern urban environment with mixed architectural styles
+- Mediterranean climate influencing color palettes and lighting
+
+This context is valuable for:
+- Authentic Middle Eastern urban environment recreation
+- Architectural style consistency in game worlds
+- Regional lighting and atmosphere modeling
+- Cultural authenticity in virtual environments
+
+### Technical Specifications
+
+- **Format**: JPEG
+- **Color Space**: RGB
+- **Typical Dimensions**: Variable (high-resolution)
+- **File Size Range**: ~300KB - 2.2MB
+- **Quality**: High-quality photography suitable for professional use
+
+### Updates and Maintenance
+
+This dataset represents a snapshot of Tel Aviv's urban environment. Future updates may include:
+- Additional photographs from different areas
+- Categorization by scene type (architecture, streets, details)
+- Metadata annotations (building types, times of day)
+- Segmentation masks for specific use cases
+
+### Contact
+
+**Dataset Creator**: Daniel Rosehill
+- Hugging Face: [@danielrosehill](https://huggingface.co/danielrosehill)
+- For questions, issues, or contributions, please use the dataset's discussion section
+
+### Acknowledgments
+
+All photographs were taken by Daniel Rosehill and are published both on Pexels and in this dataset for convenient access by the game development, 3D modeling, and AI/ML communities.
+
+### Ethical Considerations
+
+- All images are photographs of public urban spaces
+- No identifiable individuals are featured
+- Images respect privacy and public photography guidelines
+- Suitable for commercial use in games and virtual environments
+
+---
+
+**Tags**: `urban-photography`, `game-assets`, `3d-reference`, `tel-aviv`, `middle-east`, `architecture`, `city-scenes`, `game-development`, `world-building`