Name: CarDroneDetecting Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

7557 images

Explore Dataset

Here are a few use cases for this project:

Traffic Management Monitoring: This model can be used in monitoring traffic flow in real-time. The system could identify the number of cars, trucks, and buses in a specified area, providing valuable data to traffic management systems and aiding in congestion alleviation.
Automated Toll Collection: In an automated toll collection system, usage of the model can facilitate the discernment between different types of vehicles, charging them appropriately based on their classification (car, truck, bus).
Vehicle Tracking in Surveillance Footage: The model can be used for surveillance purposes by authorities. It can identify and track vehicles in CCTV footage to aid in vehicle-related investigations.
Parking Lot Management: In parking spaces, the model can be used to identify the type of vehicle entering and exiting for efficient management of space. Some parking lots may have special areas or different fee structures for different types of vehicles.
Autonomous Driving Systems: The model can be integrated into autonomous or semi-autonomous vehicles to identify and differentiate other vehicles on the road. This is crucial information for driving decisions and maneuvers.

Cite This Project

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

@misc{
                            cardronedetecting_dataset,
                            title = { CarDroneDetecting Dataset },
                            type = { Open Source Dataset },
                            author = { fedor-babunov },
                            howpublished = { \url{ https://universe.roboflow.com/fedor-babunov/cardronedetecting } },
                            url = { https://universe.roboflow.com/fedor-babunov/cardronedetecting },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-04-29 },
                            }