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Video Semantic Labeler

This tool is used for making video semantic labeling ground truth data. It has been used for UAVid dataset.
This tool is built with Visual Studio2015 with qt5.6.2 and opencv3.3.0 for windows platform.

Features

You can use the tool to play the video at specific frame index or to label the video images.
This tool supports three types of labeling. 1)pixel-wise labeling. 2)superpixel-wise labeling. 3)polygon-wise labeling.

Usage

You can setup your own visual studio project or use the compiled binary in the deploy folder.
To use the binary in the deploy folder, first, comfigure your processSetting.xml file. Then, open LabelerSoftWare.exe to start your process. A readme.pdf in deploy folder can also be found serving as a guide for you.

Use for your own video dataset

You can set your own label list in processSetting.xml file in the same way as the default one by specify your own class names and colors for your own purpose.

Citation

Please cite 'UAVid' in your publication if it helps your research:

@article{LYU2020108,
	author = "Ye Lyu and George Vosselman and Gui-Song Xia and Alper Yilmaz and Michael Ying Yang",
	title = "UAVid: A semantic segmentation dataset for UAV imagery",
	journal = "ISPRS Journal of Photogrammetry and Remote Sensing",
	volume = "165",
	pages = "108 - 119",
	year = "2020",
	issn = "0924-2716",
	doi = "https://doi.org/10.1016/j.isprsjprs.2020.05.009",
	url = "http://www.sciencedirect.com/science/article/pii/S0924271620301295"
}

@misc{1810.10438,
	Author = {Ye Lyu and 
	          George Vosselman and 
	          Guisong Xia and 
	          Alper Yilmaz and 
          Michael Ying Yang},
	Title  = {The UAVid Dataset for Video Semantic Segmentation},
	Year   = {2018},
	Eprint = {arXiv:1810.10438},
}

Enjoy your labeling!

UAVid dataset example

Contact

Author: Ye Lyu
Email: y.lyu@utwente.nl

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Video semantic labeler tool used for UAVid dataset

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