Generate synthetic YOLO datasets for object detection and segmentation—fast, customizable, no coding.Recommended Unity versions >6000.1.0f1.Earlier versions require Universal Render Pipeline (URP) package installed.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 segmentationAdd post-processing effects (Depth of Field, Motion Blur, Color Grading, etc.)Use randomized lighting, object rotation across custom axes, and random croppingExport 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 rendererFully 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 ARGame developers prototyping ML-driven gameplay featuresResearchers generating diverse computer vision datasets without manual labelingWhether 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/lB1KbAwrBJIRecommended Unity versions >6000.1.0f1. Earlier versions require Universal Render Pipeline (URP) package installed.Email for support and feedback:wildcatsdev@gmail.comKey Features:✅ Synthetic Dataset GenerationCreate labeled datasets for YOLO object detection and segmentation tasks.🖼️ Built-in Image AnnotationAutomatically generates bounding boxes and polygon masks in YOLO format.🎞️ Post-Processing EffectsApply realistic effects like Depth of Field, Motion Blur, Color Grading, and more to boost dataset variety.🎯 Object Rotation & AugmentationGenerate data with 360° object rotations across custom axes to improve model generalization.🌗 Lighting RandomizationVary scene lighting conditions dynamically for robustness in diverse environments.📂 Clean Folder OutputExports images, YOLO .txt labels, and visual "labeled" previews in structured folders (train/val/test).🛠️ No Coding RequiredUse preconfigured prefabs and editor-friendly scripts—just drag, drop, and generate.📐 Custom Resolution & Split ControlEasily configure image size, dataset size, and train/val/test percentages.🔄 Resettable SettingsCustom inspector UI with a one-click Reset Settings button.🧪 Demo Scene IncludedQuickly 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/lB1KbAwrBJIRecommended Unity versions >6000.1.0f1. Earlier versions require Universal Render Pipeline (URP) package installed.Email for support and feedback:wildcatsdev@gmail.com
