danielrosehill/Tel-Aviv-Pics

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

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

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

# 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

# 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. 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:

@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
• 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

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Tags: urban-photography, game-assets, 3d-reference, tel-aviv, middle-east, architecture, city-scenes, game-development, world-building