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---
license: cc-by-4.0
language:
- en
pretty_name: CAD Model Dataset
size_categories:
- 1K<n<10K
tags:
- cad
- 3d
- glb
- obj
- engineering
- mechanical-engineering
- electrical-engineering
- architecture
- digital-twin
- spatial-computing
- gaming
- simulation
- generative-ai
- synthetic-data
- industrial-design
- product-design
- computer-aided-design
- manufacturing
- robotics
- dataset
- parquet
viewer: true
---
# CAD Model Dataset
## Overview
The **CAD Model Dataset** is a professionally curated **collection of 1,315,608 high-quality CAD models** covering diverse applications across **engineering, manufacturing, industrial design, architecture, product development, and simulation**. The dataset provides valuable 3D design data for **AI model training, computer vision, robotics, digital twin development, generative design, 3D reconstruction, and CAD automation**, supporting research and development of advanced AI and engineering solutions.
---
# Dataset Statistics
| Property | Value |
|-----------|------:|
| Asset Type | 3D CAD Models |
| Total Assets | 1,315,608 |
| Storage Format | Apache Parquet |
| Compression | ZSTD |
| License | CC-BY-4.0 |
| Folder Hierarchy | Preserved |
| Metadata Included | Yes |
---
# Categories
The dataset contains CAD assets from multiple engineering and industrial domains including:
- Mechanical Engineering
- Architectural Engineering
- Electrical Engineering
- Industrial Equipment
- Manufacturing Components
- Robotics
- Automotive Parts
- Aerospace Components
- Medical Equipment
- Consumer Products
- Characters & Creatures
- Art & Abstract
- Cultural Heritage
- Industrial Assemblies
---
# Sample Assets
Examples include:
- Aircraft Landing Gear
- Heat Exchanger
- Pump
- Vehicle Suspension System
- Automatic Sliding Gate System
- Camera Lens
- Warehouse Utility Cart
- Steam Engine
- Aircraft Engine
- Injection Mold
- Boring Machine
- Coil Winding Machine
---
# Parquet Schema
Each row represents one original file.
| Column | Type | Description |
|----------|---------|-----------------------------|
| file_name | string | Original filename |
| relative_path | string | Original folder path |
| extension | string | File extension |
| file_size | int64 | File size in bytes |
| sha256 | string | SHA-256 checksum |
| content | binary | Original file content |
The original folder hierarchy is preserved through the **relative_path** column.
---
# Dataset Features
- Large-scale industrial CAD collection
- Original folder structure retained
- Binary files stored losslessly
- Metadata searchable
- SHA-256 integrity verification
- Efficient Apache Parquet storage
- ZSTD compression
- Suitable for enterprise AI workflows
---
# Applications
This dataset can be used for:
- CAD Retrieval
- Generative AI
- Digital Twin
- Engineering AI
- Robotics
- Manufacturing Automation
- Industrial Inspection
- Reverse Engineering
- 3D Shape Analysis
- Product Design Automation
- Simulation
- Spatial Computing
- AR / VR
- Game Development
---
# Industries
- Manufacturing
- Automotive
- Aerospace
- Construction
- Industrial Automation
- Medical Devices
- Electronics
- Heavy Engineering
- Architecture
- Education
- Research
---
# File Formats
The collection may contain formats including:
- OBJ
- GLB
- GLTF
- STL
- STEP
- STP
- IGES
- IGS
- FBX
- DAE
- PLY
- DXF
- DWG
- 3DS
---
# Loading the Dataset
```python
from datasets import load_dataset
dataset = load_dataset(
"YOUR_USERNAME/3d-cad-dataset",
split="train"
)
print(dataset)
```
---
# Restoring the Original Dataset
Each row stores the original binary content together with its original relative path. The dataset can therefore be reconstructed exactly as it existed before conversion by writing the `content` field back to the corresponding `relative_path`.
---
# Intended AI Use Cases
- Foundation Models for 3D Assets
- CAD Retrieval Systems
- Design Similarity Search
- Engineering Knowledge Graphs
- Large Multimodal Models
- Digital Twin Platforms
- Geometry Processing
- Robotics Simulation
- Industrial AI
---
# Data Creation
Procured through formal agreements and generated in the ordinary course of business.
# Considerations
This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay.AI or contact us directly.
-Ph: (91) 8303174762
-Email: datareq@infobay.ai