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.gitignore

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canvas.py

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colorDialog.py

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contributors.txt

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labelDialog.py

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labelFile.py

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labelImg.py

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lib.py

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Makefile

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piscal_voc_writer.py

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README.md

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README.md

LabelImg

LabelImg is a graphical image annotation tool

It is written in Python and uses Qt for its graphical interface.

The annotation file will be saved as a XML file. The annotation format is Piscal VOC format, and the format is the same as ImageNet

Dependencies

Requires at least Python 2.6 and has been tested with PyQt 4.8.

In order to build the resource and assets, you need to install python-qt4 python-qt4-dev pyqt4-dev-tools ...

Usage

After cloning the code, you should run make to generate the resource file.

You can then start annotating by running ./labelImg.py. For usage instructions you can see Here

At the moment annotations are saved as a XML file. The format is Piscal VOC format, and the format is the same as ImageNet

You can also see ImageNet Utils to download image, create a label text for machine learning, etc