CarsByDrone Object Detection Dataset and Pre-Trained Model by Doc

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9840 images

Explore Dataset

Here are a few use cases for this project:

Traffic Monitoring: This computer vision model can be used for live monitoring of highways, city streets, or other traffic zones. It can be used to identify the different types of vehicles on the road and help in network congestion analysis, accident detection, and smart traffic signal management.
Parking Management: The model can be used to manage and control parking spaces in public places like shopping malls, airports, schools, etc. It can identify the type of vehicles for appropriate parking allocation and assist in detecting any unauthorized parking or violations.
Security Surveillance: The CarsByDrone model can be a part of a security system to monitor and identify vehicle types entering or exiting a facility. If integrated with number plate recognition, it may be used for vehicle tracking and in identifying vehicle-related crime.
Insurance Investigations: During accident investigations, insurance companies can use this model to analyze drone footage to understand the types of vehicles involved, their movement, and estimate the damage.
Urban Planning: The government and urban planners can use this AI model to gather data about vehicle type frequency in urban and rural areas for planning road infrastructure and transit systems, analyzing the traffic pattern, and managing public transportation systems more effectively.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            carsbydrone_dataset,
                            title = { CarsByDrone Dataset },
                            type = { Open Source Dataset },
                            author = { Doc },
                            howpublished = { \url{ https://universe.roboflow.com/doc/carsbydrone } },
                            url = { https://universe.roboflow.com/doc/carsbydrone },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }