emergency_vehicles Computer Vision Project

emergencyvehicles

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Classes (53)
Aerial_Apparatus
Ambulance_Bus
Bariatric_Ambulance
Contrast_High
Contrast_Low
Conventional_Fire_Engine
Defocus_Blur_High
Defocus_Blur_Low
Defocus_Blur_None
Emergency_Ambulance
Fire_Command_Vehicle
Fire_Investigation_Unit
Gaussian_Blur_High
Gaussian_Blur_Low
Gaussian_Blur_None
Hazardous_Materials_Apparatus
Haze_Blur_High
Haze_Blur_Low
Haze_Blur_None
Illumination_Day_High
Illumination_Day_Low
Illumination_Night
Light_Air_Unit
Mobile_Communications_Vehicle
Motion_Blur_High
Motion_Blur_Low
Motion_Blur_None
Motorcycle_Ambulance
Nontransporting_EMS_Vehicle
Occlusion_High
Occlusion_Low
Occlusion_Medium
Occlusion_None
Platform_Truck
Police_Bus
Police_Crossover
Police_Hatchback
Police_Motorcycle
Police_Off_Road_Vehicle
Police_Pickup_Truck
Police_SUV
Police_Sedan
Police_Van
Psychiatric_Ambulance
Rapid_Organ_Recovery_Ambulance
Rescue_Vehicle
Resolution_High
Resolution_Low
Resolution_Medium
SWAT_Vehicle
Tow_Truck
Water_Tender
Wildland_Fire_Engine

Metrics

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Description

Here are a few use cases for this project:

  1. Traffic Management Systems: The "emergency_vehicles" model can be integrated into traffic management systems so they can detect the types of emergency vehicles on the road. This can allow traffic lights to automatically change, giving priority to emergency vehicles, thereby improving response times and saving lives.

  2. Smart Surveillance Systems: This computer vision model can be utilized as part of smart surveillance system infrastructure in cities to indicate the presence and movement of emergency vehicles, which could be crucial information during natural disasters or mass emergencies.

  3. Autonomous Vehicle Navigation: The model can be used in autonomous vehicles to detect different types of emergency vehicles, their speed, and direction. This can help the autonomous vehicle to respond appropriately, ensuring safety.

  4. Fleet Management for Emergency Services: This model can help manage the fleet of emergency vehicles by tracking and identifying which types of vehicles are being used or are idle, ultimately improving efficiency and preparedness.

  5. Emergency Scenario Training Programs: The computer vision model can be used for training purposes in virtual reality or augmented reality applications for first responders and emergency personnel, helping them to learn how to identify different types of emergency vehicles quickly.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            emergency_vehicles-stz1b_dataset,
                            title = { emergency_vehicles Dataset },
                            type = { Open Source Dataset },
                            author = { emergencyvehicles },
                            howpublished = { \url{ https://universe.roboflow.com/emergencyvehicles/emergency_vehicles-stz1b } },
                            url = { https://universe.roboflow.com/emergencyvehicles/emergency_vehicles-stz1b },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-11-21 },
                            }