airsim-vehicle-detection Computer Vision Project
ros2jsguy
Updated 2 years ago
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Description
This is an object detection experiment to identify the location of vehicles from aerial images captured in an AirSim session. The data set is small 45-ish original annotated images (256x144) with 2X additional augmented images. Images were captured from a drone's 'bottom_center' camera with 90 deg FOV at 45m height. Used AirSim-js and Nodejs to code the flight path and grab images from the camera.
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LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
airsim-vehicle-detection_dataset,
title = { airsim-vehicle-detection Dataset },
type = { Open Source Dataset },
author = { ros2jsguy },
howpublished = { \url{ https://universe.roboflow.com/ros2jsguy/airsim-vehicle-detection } },
url = { https://universe.roboflow.com/ros2jsguy/airsim-vehicle-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-11-16 },
}