README.md

---
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`