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Rfdetr Large ONNX
RF-DETR Large is an object detection model based on the DETR architecture, designed for efficient detection of objects in images.
Downloads 23
Release Time : 3/29/2025
Model Overview
This model adopts the DETR (Detection Transformer) architecture, focusing on high-precision object detection tasks, with support for ONNX format for easy deployment.
Model Features
Efficient object detection
Based on the DETR architecture, it can efficiently and accurately detect objects in images.
ONNX format support
The model is provided in ONNX format for easy deployment across different platforms and environments.
High-confidence detection
Supports setting confidence thresholds to ensure the accuracy of detection results.
Model Capabilities
Object detection in images
Multi-category object recognition
High-precision bounding box prediction
Use Cases
Computer vision
Security surveillance
Used for real-time detection of humans, vehicles, and other objects in surveillance videos.
High-precision detection reduces false alarm rates.
Autonomous driving
Detects pedestrians, vehicles, and traffic signs on the road.
Enhances the environmental perception capabilities of autonomous driving systems.
Retail
Product recognition
Used for automatic identification and classification of products in retail scenarios.
Improves inventory management efficiency.
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