Roboflow Universe altz Vehicle Count in Drone Video

Vehicle Count in Drone Video Computer Vision Project

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Development of an AI/ ML solution for UAV-Based Traffic Analysis which can process 1080p/4K aerial videos taken from a UAV hovering at a stationary location near a road/highway/intersection. The vendor may specify any applicable video capture requirements for ensuring the solution works. A single video will range from 15 minutes to 1 hour in length.

• The solution should be able to classify vehicles in following categories:
	o Two wheelers
	o Three Wheelers
	o Car
	o Buses
	o Light commercial Vehicle
	o Heavy Commercial Vehicle
	o Multi-Axial Vehicle (Single Body Rigid Structure)
	o Multi-Axial Vehicle (Articulated)
	o Trailers
	o Tractors.
• Cars should be sub-categorized into following:
	o Hatchback
	o Sedan
	o SUV

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Cite This Project

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

@misc{
                            vehicle-count-in-drone-video_dataset,
                            title = { Vehicle Count in Drone Video Dataset },
                            type = { Open Source Dataset },
                            author = { altz },
                            howpublished = { \url{ https://universe.roboflow.com/altz-bs642/vehicle-count-in-drone-video } },
                            url = { https://universe.roboflow.com/altz-bs642/vehicle-count-in-drone-video },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-05-02 },
                            }

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Source

altz

Last Updated

a year ago

Project Type

Object Detection

Subject

Vehicles

Views: 1609

Downloads: 72

License

CC BY 4.0

Classes

0: Two Wheeler 10: Sedan 11: SUV 1: Three Wheeler 2: Bus 3: LCV 4: HCV 7: Trailer 9: Hatchback Bus HCV Hatchback LCV SUV Sedan Three Wheeler Trailer Two Wheeler

Object Detection Model