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Detr Resnet 50 Finetuned Road Traffic

Developed by josephlyr
Traffic scene object detection model based on DETR architecture, fine-tuned from facebook/detr-resnet-50
Downloads 30
Release Time : 12/8/2023

Model Overview

This model is an object detection model based on the DETR (Detection Transformer) architecture, specifically fine-tuned for road traffic scenarios, capable of detecting various target objects in traffic scenes.

Model Features

End-to-End Object Detection
Uses Transformer architecture to achieve end-to-end object detection without complex post-processing
Traffic Scene Optimization
Specifically fine-tuned for road and traffic scenes, suitable for detecting vehicles, pedestrians, and other targets
ResNet-50 Based Feature Extraction
Uses ResNet-50 as the backbone network, providing excellent feature extraction capabilities

Model Capabilities

Object detection in images
Traffic scene object recognition
Multi-category object detection

Use Cases

Intelligent Transportation
Traffic Monitoring
Used for vehicle and pedestrian detection in traffic surveillance cameras
Autonomous Driving Perception
Serves as the perception module for autonomous driving systems to detect objects in the surrounding environment
Urban Management
Traffic Flow Statistics
Counts the number and types of vehicles on the road
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