Rtdetr V2 R34vd
RT-DETRv2 is an improved version of the real-time object detection Transformer model, enhancing performance through multi-scale feature extraction and optimized training strategies.
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Release Time : 1/31/2025
Model Overview
RT-DETRv2 is a real-time object detection model based on the Transformer architecture. It improves detection accuracy while maintaining real-time performance through selective multi-scale feature extraction and enhanced training strategies.
Model Features
Real-time performance
Maintains real-time speed across all model sizes, suitable for applications requiring rapid response.
Multi-scale feature extraction
Incorporates selective multi-scale feature extraction to enhance detection accuracy and flexibility.
Deployment compatibility
Improves deployment compatibility through discrete sampling operators, suitable for various hardware platforms.
Dynamic data augmentation
Utilizes dynamic data augmentation and scale-adaptive hyperparameters to optimize training effectiveness.
Model Capabilities
Real-time object detection
Multi-scale feature extraction
High-precision detection
Deployment compatibility
Use Cases
Autonomous driving
Vehicle and pedestrian detection
Detects vehicles and pedestrians on roads in real-time, enhancing the safety of autonomous driving systems.
High-precision detection with real-time response.
Surveillance systems
Anomaly behavior detection
Monitors video streams in real-time to detect abnormal behavior or suspicious objects.
Rapid response with high-precision recognition.
Robotics
Object grasping
Robots identify and grasp specific objects through real-time object detection.
High-precision positioning with real-time operation.
Retail analytics
Product recognition
Identifies products on shelves in real-time for inventory management and customer behavior analysis.
High-precision recognition with rapid response.
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