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Vehicle Detection Model

Developed by ArrayDice
Vehicle detection model based on DETR framework, supporting recognition and localization of multiple vehicle types
Downloads 32
Release Time : 7/11/2024

Model Overview

This model is a fine-tuned vehicle detection model based on facebook/detr-resnet-50, capable of recognizing various vehicle types such as RVs, sedans, pickup trucks, and providing their location information in images.

Model Features

End-to-end object detection
Adopts DETR architecture, eliminating the need for anchor box design in traditional object detection, achieving an end-to-end detection process
Multi-category vehicle recognition
Capable of recognizing various vehicle types such as RVs, sedans, and pickup trucks
Detection at different scales
Capable of detecting vehicle targets of small, medium, and large sizes

Model Capabilities

Vehicle detection
Object localization
Multi-category recognition

Use Cases

Intelligent transportation
Traffic monitoring analysis
Used for vehicle detection and statistics in traffic surveillance cameras
Can identify different types of vehicles and count their numbers
Autonomous driving perception
Provides surrounding vehicle detection capability for autonomous driving systems
Helps autonomous vehicles recognize the position and type of surrounding vehicles
Security surveillance
Parking lot management
Used for vehicle entry/exit detection and classification in parking lots
Can track parking status of different vehicle types
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