license: cc-by-4.0

task_categories:
- image-classification
- feature-extraction
- visual-question-answering

task_ids:
- multi-label-image-classification
- image-captioning

language:
- en

pretty_name: InfoBay.AI Design Assets Dataset

size_categories:
- 1M<n<10M


tags:
- design
- figma
- cad
- psd
- svg
- infographic
- ui
- ux
- graphics
- vector
- 3d
- multimodal
- generative-ai
- computer-vision
- foundation-models
- design-automation
- enterprise-ai
- digital-assets
- retrieval
- search
- vision-language-models
---

# InfoBay.AI Design Assets Dataset Collection

## Overview

The **InfoBay.AI Design Assets Dataset Collection** is a comprehensive multimodal dataset containing more than **2.37 million professionally curated digital design assets** across multiple creative domains. The collection has been prepared for Artificial Intelligence, Machine Learning, Computer Vision, Design Automation, Multimodal Foundation Models, Enterprise Search, Retrieval Systems, UI/UX Research, and Generative AI applications.

To improve storage efficiency, enable streaming, and simplify large-scale distribution, all original files have been serialized into **Apache Parquet** while preserving their original filenames, directory structures, file extensions, and binary contents. The original assets can be reconstructed exactly from the provided Parquet files.

This dataset serves as a valuable resource for researchers, enterprises, and developers building next-generation creative AI systems.

---

# Dataset Statistics

| Catalogue | Asset Type | Total Assets |
|------------|------------|-------------:|
| CAD Dataset Catalogue | GLB / OBJ | 1,200,362 |
| SVG Dataset Catalogue | SVG | 873,754 |
| PSD Dataset Catalogue | PSD | 211,021 |
| Infographic Dataset Catalogue | PNG / JPEG | 90,000 |
| Figma Dataset Catalogue | FIG | 4,781 |

## Total Assets

**2,379,918 Professional Design Assets**

---

# Dataset Categories

## 1. CAD Dataset Catalogue

Contains professional three-dimensional assets collected across engineering, architecture, industrial design, gaming, and cultural heritage.

### Key Categories

- Architectural Engineering
- Mechanical Engineering
- Electrical Engineering
- Characters & Creatures
- Art & Abstract
- Cultural Heritage

### Supported Formats

- GLB
- OBJ

### Primary Applications

- 3D Generative AI
- Digital Twin Systems
- Robotics
- Spatial Computing
- CAD Automation
- Gaming
- XR / VR
- Engineering Simulation

---

## 2. SVG Dataset Catalogue

Large-scale vector graphics collection suitable for scalable graphics, UI systems, enterprise search, and frontend AI.

### Key Categories

- UI Controls
- Logos & Branding
- Technology & Devices
- Communication
- Business & Finance
- Health & Medical
- Media & Entertainment

### Primary Applications

- UI Generation
- Design Retrieval
- Icon Search
- Enterprise Search
- Frontend AI
- OCR
- Search Indexing

---

## 3. PSD Dataset Catalogue

Professional Adobe Photoshop layered templates covering marketing, branding, interface design, and creative production.

### Key Categories

- Posters
- Flyers
- Social Media Templates
- Mockups
- UI / UX Templates
- Website Templates
- Branding Assets

### Primary Applications

- Product Design
- Marketing Automation
- Creative AI
- Frontend Generation
- Design Recommendation Systems

---

## 4. Infographic Dataset Catalogue

Professionally designed infographic assets for business intelligence, education, documentation, and data storytelling.

### Key Categories

- Diagrams
- Charts
- Business
- Education
- Data Analytics
- Technology
- Scientific Reports

### Primary Applications

- Data Visualization AI
- Educational AI
- Automated Report Generation
- Presentation AI
- Knowledge Extraction

---

## 5. Figma Dataset Catalogue

Native Figma interface projects covering modern UI/UX workflows.

### Key Categories

- UI Kits
- Design Systems
- Mobile Applications
- Websites
- Landing Pages
- FigJam Boards
- Icons
- Illustrations

### Primary Applications

- UI Generation
- UX Research
- Layout Understanding
- Interface Generation
- Marketing Automation
- Component Detection

---

# Storage Format

The original assets have been converted into **Apache Parquet**.

Each record preserves the complete binary representation of the original file.

Typical schema:

| Column | Description |
|---------|-------------|
| relative_path | Original relative path |
| filename | Original filename |
| extension | Original file extension |
| size | Original file size (bytes) |
| content | Binary file content |

The original directory structure and files can be restored programmatically from the Parquet dataset.

---

# AI & Machine Learning Applications

This dataset is suitable for:

- Large Multimodal Models (LMMs)
- Vision Language Models (VLMs)
- Computer Vision
- Retrieval-Augmented Generation (RAG)
- UI Understanding
- Layout Detection
- Design Similarity Search
- Vector Retrieval
- Image Embeddings
- Design Recommendation Systems
- Frontend Code Generation
- Creative AI
- 3D Foundation Models
- CAD Understanding
- Design Quality Assessment
- Human-Computer Interaction Research
- Digital Asset Retrieval

---

# Enterprise Applications

- Product Design
- UI / UX Design
- Design Automation
- Creative Asset Management
- Enterprise Search
- Marketing Automation
- Knowledge Management
- Search Engines
- Visual Recommendation Systems
- Brand Asset Management
- Digital Twin Platforms
- AI-assisted Content Creation

---

# Why Apache Parquet?

The dataset is distributed as Apache Parquet because it provides:

- Efficient compression
- Cloud-native storage
- Fast loading
- Streaming support
- Hugging Face compatibility
- Reduced storage requirements
- Distributed processing support
- Scalable data pipelines

---

# Loading the Dataset

```python
from datasets import load_dataset

dataset = load_dataset("YOUR_USERNAME/YOUR_DATASET_NAME")

print(dataset)
```

---

# Example

```python
sample = dataset["train"][0]

print(sample["filename"])
print(sample["extension"])
print(sample["size"])
print(sample["content"])
```

---

# Citation

If you use this dataset in research, publications, or commercial products, please cite:

```bibtex
@dataset{infobay_design_assets_2026,
  title     = {InfoBay.AI Design Assets Dataset Collection},
  author    = {InfoBay.AI},
  year      = {2026},
  publisher = {InfoBay.AI},
  license   = {CC BY 4.0}
}
```

---

# License

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, including commercial use.

Under the following condition:

- Attribution — You must provide appropriate credit to **InfoBay.AI**, provide a link to the license, and indicate if changes were made.

For more information, visit:

https://creativecommons.org/licenses/by/4.0/

---

# Disclaimer

This dataset is provided for research, educational, and enterprise AI development purposes. Users are responsible for ensuring compliance with all applicable laws, intellectual property rights, and licensing obligations associated with the assets contained within this dataset.

---

# Acknowledgements

The **InfoBay.AI Design Assets Dataset Collection** has been curated to support research and development in Artificial Intelligence, Computer Vision, Design Automation, Human-Computer Interaction, Multimodal Learning, Vision-Language Models, Generative AI, and Enterprise Software Systems.

We hope this collection accelerates innovation in the next generation of intelligent design technologies.