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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 byImageNet.

Watch a demo video

Installation

Download prebuiltbinaries

• Windows & Linux
• macOS. Binaries for macOS 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 2.6and has been tested with PyQt 4.8.

Ubuntu Linux

Python 2 + Qt4

sudo apt-getinstall pyqt4-dev-tools

sudo pip installlxml

make qt4py2

python labelImg.py

python labelImg.py[IMAGE_PATH] [PRE-DEFINED CLASS FILE]

Python 3 + Qt5

sudo apt-getinstall pyqt5-dev-tools

sudo pip3 installlxml

make qt5py3

python3labelImg.py

python3labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

macOS

Python 2 + Qt4

brew install qtqt4

brew installlibxml2

make qt4py2

python labelImg.py

python  labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASSFILE]

Windows

Download and setup Python 2.6 orlater, PyQt4and install lxml.

Open cmd and go to labelImgdirectory

pyrcc4 -oresources.py resources.qrc

python labelImg.py

python labelImg.py[IMAGE_PATH] [PRE-DEFINED CLASS FILE]

Get from PyPI

pip installlabelImg

labelImg

labelImg[IMAGE_PATH] [PRE-DEFINED CLASS FILE]

I tested pip on Ubuntu 14.04 and 16.04. However, I didn't test pip on macOSand Windows

Use Docker

docker run -it \

--user $(id -u) \

-eDISPLAY=unix$DISPLAY \

--workdir=$(pwd) \

--volume="/home/$USER:/home/$USER"\

--volume="/etc/group:/etc/group:ro"\

--volume="/etc/passwd:/etc/passwd:ro"\

--volume="/etc/shadow:/etc/shadow:ro"\

--volume="/etc/sudoers.d:/etc/sudoers.d:ro"\

-v /tmp/.X11-unix:/tmp/.X11-unix\

tzutalin/py2qt4

makeqt4py2;./labelImg.py

You can pull the image which has all of the installed and requireddependencies. Watch a demo video

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'
5. Click and release left mouse to select a region to annotate the rect box
6. You can use right mouse to drag the rect box to copy or move it

The annotation will be saved to the folder you specify.

You can refer to the below hotkeys to speed up your workflow.

Create pre-definedclasses

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

Hotkeys

How to contribute

Send a pull request

License

Free software:MIT license

Citation: Tzutalin. LabelImg. Git code (2015). https://github.com/tzutalin/labelImg

Related

1. ImageNet Utils to download image, create a label text for machine learning, etc
2. Use Docker to run labelImg
3. Generating the PASCAL VOC TFRecord files