37 lines
1.2 KiB
Markdown
37 lines
1.2 KiB
Markdown
# LabelImg
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LabelImg is a graphical image annotation tool. The source mainly comes from [labelme](labelme.csail.mit.edu).
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It is written in Python and uses Qt for its graphical interface.
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The annotation file will be saved as a XML file. The annotation format is PASCAL VOC format, and the format is the same as [ImageNet](http://www.image-net.org/)
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## Dependencies
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Requires at least [Python 2.6](http://www.python.org/getit/) and has been tested with [PyQt
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4.8](http://www.riverbankcomputing.co.uk/software/pyqt/intro).
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In order to build the resource and assets, you need to install pyqt4-dev-tools:
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`$ sudo apt-get install pyqt4-dev-tools`
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## Usage
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After cloning the code, you should run `make` to generate the resource file.
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You can then start annotating by running `./labelImg.py`. For usage
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instructions you can see [Here](https://youtu.be/p0nR2YsCY_U)
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At the moment annotations are saved as a XML file. The format is PASCAL VOC format, and the format is the same as [ImageNet](http://www.image-net.org/)
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You can also see [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc
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### Hotkeys
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* Ctrl + n : Create a bounding box
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* Ctrl + s : Save
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* n : Next image
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