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