LabelImg

LabelImg is a graphical image annotation tool. The source mainly comes from labelme.

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 PASCAL VOC format, and the format is the same as ImageNet

Dependencies

• Linux/Ubuntu 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 pyqt4-dev-tools:

$ sudo apt-get install pyqt4-dev-tools

$ ./labelImg.py

• Windows Need to download and setup Python 2.6 or later and PyQt4. Open cmd and go to $labelImg,

$ pyrcc4 -o resources.py resources.qrc

$ python labelImg.py

Usage

After cloning the code, you should run make all 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 PASCAL 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

Create pre-defined classes

You can edit the data/predefined_classes.txt to load pre-defined classes

General steps from scratch

• Build and launch. make all; python labelImg.py

• Click 'Change default saved annotation folder' in Menu/File

• Click 'Open Dir'

• Click 'Create RectBox'

The annotation will be saved to the folder you specifiy

Hotkeys

• Ctrl + r : Change the defult target dir which saving annotation files

• Ctrl + n : Create a bounding box

• Ctrl + s : Save

• n : Next image

• p : Previous image