Vehicle Count in Drone Video Computer Vision Project
altz
Updated 2 years ago
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Description
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
LICENSE
CC BY 4.0 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 2024-12-22 },
}