Price history
Recorded standalone sale prices and the latest available store price, in USD. Historical dots use the sale start date and its recorded offer price. Prices can change during a sale; this is not a daily price log. Bundle prices and upcoming offers are excluded. History covers up to the 100 most recent recorded offers.
Lowest recorded standalone price in this history: $15. The latest store price is $15, matching the lowest recorded price shown here.
View 1 recorded price
| Sale start / price check | Price | Observation |
|---|---|---|
| $15 | Latest store price |
About YoloModelRunner
YoloModelRunner is a Unity plugin that makes running YOLO models in Unity effortless.
It removes the need to understand fixed input tensor sizes, complex output tensor structures, and manual post-processing logic. Simply drag and drop your YOLO ONNX model into the ModelRunner, and the plugin automatically handles preprocessing, inference, and output decoding.
The plugin returns clean, structured Prediction results including class labels, confidence scores, bounding boxes, segmentation masks, and pose landmarks. It supports Detection, Classification, Segmentation, and Pose YOLO models, including custom-trained models, and works with image, video, and real-time webcam inputs—making it ideal for games, AR/VR, and computer vision applications in Unity.
Key Features
Zero-complexity YOLO integration in Unity
No external dependencies (Unity Inference only)
Drag & drop YOLO ONNX model workflow
Supports Detection, Classification, Segmentation, and Pose models
Compatible with custom-trained YOLO models
Unified Prediction output (class, confidence, bbox, mask, landmarks)
Image, Video, and Webcam input sources
Adjustable confidence and IOU thresholds
CPU, GPU Compute, and GPU Pixel backend support
Demo scenes included for all supported model types
Use Cases
Real-time object detection, Classification, Segmentation, Pose Estimation in Unity Project
Gesture Detection
Segment Object From Image
Image Masking
AR/VR object tracking and interaction
Image and video analysis tools
Pose-based gameplay and motion analysis
AI-powered visualization and analytics
Rapid prototyping of computer vision features in Unity
It removes the need to understand fixed input tensor sizes, complex output tensor structures, and manual post-processing logic. Simply drag and drop your YOLO ONNX model into the ModelRunner, and the plugin automatically handles preprocessing, inference, and output decoding.
The plugin returns clean, structured Prediction results including class labels, confidence scores, bounding boxes, segmentation masks, and pose landmarks. It supports Detection, Classification, Segmentation, and Pose YOLO models, including custom-trained models, and works with image, video, and real-time webcam inputs—making it ideal for games, AR/VR, and computer vision applications in Unity.
Key Features
Zero-complexity YOLO integration in Unity
No external dependencies (Unity Inference only)
Drag & drop YOLO ONNX model workflow
Supports Detection, Classification, Segmentation, and Pose models
Compatible with custom-trained YOLO models
Unified Prediction output (class, confidence, bbox, mask, landmarks)
Image, Video, and Webcam input sources
Adjustable confidence and IOU thresholds
CPU, GPU Compute, and GPU Pixel backend support
Demo scenes included for all supported model types
Use Cases
Real-time object detection, Classification, Segmentation, Pose Estimation in Unity Project
Gesture Detection
Segment Object From Image
Image Masking
AR/VR object tracking and interaction
Image and video analysis tools
Pose-based gameplay and motion analysis
AI-powered visualization and analytics
Rapid prototyping of computer vision features in Unity