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Package details
- Latest version
- 4.0
- Last updated
- First released
- Unity version
- 6000.4.7 or later
- Package size
- 86.1 MB
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- 115
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Keywords
Synthetic YOLO Dataset Generator
Generate synthetic YOLO datasets for object detection and segmentation—fast, customizable, no coding.
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Synthetic YOLO Dataset Generator screenshot 1
About this asset
The Synthetic YOLO Dataset Generator is a powerful Unity tool designed to create high-quality synthetic datasets for training computer vision models—specifically object detection and segmentation tasks using the YOLO format.
This package enables you to generate thousands of labeled images directly within the Unity Editor, using fully customizable prefabs and intuitive inspector settings. No coding is required.
🔧 Key Capabilities:
- Generate datasets for YOLO object detection and polygon segmentation
- Add post-processing effects (Depth of Field, Motion Blur, Color Grading, etc.)
- Use randomized lighting, object rotation across custom axes, and random cropping
- Export structured datasets ready for training (train/val/test split)
- Instantly preview labeled results with the included "labeled" folder
⚙️ Customization:
- Supports any Unity 3D object with a renderer
- Fully configurable via the Inspector (camera setup, lighting, resolution, output path, etc.)
- Create and save prefab variants for different use cases (vehicles, characters, tools, etc.)
- Works with YOLOv8-YOLOv12 formats
🎯 Use Cases:
- AI training for autonomous vehicles, robotics, security, and AR
- Game developers prototyping ML-driven gameplay features
- Researchers generating diverse computer vision datasets without manual labeling
Whether you're building a real-time object detector or training a deep learning model, this tool helps you accelerate your data pipeline—right inside Unity.
The instruction is attached to the asset. see Synthetic YOLO Dataset Generator – User Guide.pdf file.
YouTube video instruction:
https://youtu.be/lB1KbAwrBJI
Recommended Unity versions >6000.1.0f1. Earlier versions require Universal Render Pipeline (URP) package installed.
Email for support and feedback:
From the publisher's Asset Store listing.
Technical details
Key Features:
✅ Synthetic Dataset Generation
- Create labeled datasets for YOLO object detection and segmentation tasks.
🖼️ Built-in Image Annotation
- Automatically generates bounding boxes and polygon masks in YOLO format.
🎞️ Post-Processing Effects
- Apply realistic effects like Depth of Field, Motion Blur, Color Grading, and more to boost dataset variety.
🎯 Object Rotation & Augmentation
- Generate data with 360° object rotations across custom axes to improve model generalization.
🌗 Lighting Randomization
- Vary scene lighting conditions dynamically for robustness in diverse environments.
📂 Clean Folder Output
- Exports images, YOLO .txt labels, and visual "labeled" previews in structured folders (train/val/test).
🛠️ No Coding Required
- Use preconfigured prefabs and editor-friendly scripts—just drag, drop, and generate.
📐 Custom Resolution & Split Control
- Easily configure image size, dataset size, and train/val/test percentages.
🔄 Resettable Settings
- Custom inspector UI with a one-click Reset Settings button.
🧪 Demo Scene Included
- Quickly test features and explore setup examples with the included demo scene and assets.
The instruction is attached to the asset. see Synthetic YOLO Dataset Generator – User Guide.pdf file.
Video instruction:
https://youtu.be/lB1KbAwrBJI
Recommended Unity versions >6000.1.0f1. Earlier versions require Universal Render Pipeline (URP) package installed.
Email for support and feedback:
Compatibility
| Unity version | Built-in | URP | HDRP |
|---|---|---|---|
| 6000.4.7f1 | Not listed | Compatible | Not listed |
Recommended Unity versions >6000.1.0f1.
Earlier versions require Universal Render Pipeline (URP) package installed.
As listed on the Asset Store.