LabelImg

LabelImg is a graphical image annotation tool.

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

Annotations are saved as XML files in PASCAL VOC format, the format used by ImageNet.

Watch a demo video by author tzutalin

Get it

Download prebuilt binaries

• Windows
• Download LabelImg 1.2.2 for Windows
• Download LabelImg 1.2.1 for Windows
• Download LabelImg 1.2 for Windows
• Linux
• Download LabelImg 1.2.2 for Linux
• Download LabelImg 1.2.1 for Linux
• Download LabelImg 1.2 for Linux
• OS X
• Binaries for OS X are not yet available. Help would be appreciated. At present it must be built from source.

Build from source

Linux/Ubuntu/Mac requires at least Python 2.6 and has been tested with PyQt 4.8.

Ubuntu Linux

sudo apt-get install pyqt4-dev-tools
sudo pip install lxml
make all
./labelImg.py

OS X

brew install qt qt4
brew install libxml2
make all
./labelImg.py

Windows

Download and setup Python 2.6 or later, PyQt4 and install lxml.

Open cmd and go to [labelImg]

pyrcc4 -o resources.py resources.qrc
python labelImg.py

Usage

Steps

1. Build and launch using the instructions above.
2. Click 'Change default saved annotation folder' in Menu/File
3. Click 'Open Dir'
4. Click 'Create RectBox'

The annotation will be saved to the folder you specify.

Create pre-defined classes

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

Hotkeys

Ctrl + r	Change the default annotation target dir
Ctrl + s	Save
w	Create a bounding box
d	Next image
a	Previous image

How to contribute

Send a pull request

License

License

Related

1. ImageNet Utils to download image, create a label text for machine learning, etc