Sentis Yolotinyv7
A lightweight real-time multi-object detection model optimized for Unity engine, based on YOLOv7-tiny architecture
Downloads 61
Release Time : 1/9/2024
Model Overview
Object detection model optimized for Unity 2023, implementing real-time object recognition through Sentis inference engine
Model Features
Native Unity Support
Optimized for Unity Sentis engine, can run directly in Unity 2023
Real-time Performance
Lightweight tiny architecture suitable for real-time object detection scenarios
Bounding Box Optimization
Includes additional layers for filtering the most probable bounding boxes
Model Capabilities
Real-time multi-object detection
Video stream analysis
Object bounding box recognition
Use Cases
Game Development
AR Object Recognition
Real-time environment object recognition in augmented reality applications
Can mark recognized objects' bounding boxes and categories
Smart Surveillance
Video Analysis
Object detection analysis for real-time video streams
Can output video frames with annotated bounding boxes
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