Skip to main content

LabelImg is a graphical image annotation tool and label object bounding boxes in images

Project description

LabelImg
========

.. image:: https://img.shields.io/pypi/v/labelimg.svg
:target: https://pypi.python.org/pypi/labelimg

.. image:: https://img.shields.io/travis/tzutalin/labelImg.svg
:target: https://travis-ci.org/tzutalin/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 <http://www.image-net.org/>`__.

.. image:: https://raw.githubusercontent.com/tzutalin/labelImg/master/demo/demo3.jpg
:alt: Demo Image

`Watch a demo video by author tzutalin <https://youtu.be/p0nR2YsCY_U>`__

Installation
------------------

Download prebuilt binaries
~~~~~~~~~~~~~~~~~~~~~~~~~~

- `Windows & Linux <http://tzutalin.github.io/labelImg/>`__

- OS X. Binaries for OS X are not yet available. Help would be appreciated. At present, it must be `built from source <#os-x>`__.

Build from source
~~~~~~~~~~~~~~~~~

Linux/Ubuntu/Mac requires at least `Python
2.6 <http://www.python.org/getit/>`__ and has been tested with `PyQt
4.8 <http://www.riverbankcomputing.co.uk/software/pyqt/intro>`__.


Ubuntu Linux
^^^^^^^^^^^^

.. code::

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

OS X
^^^^

.. code::

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

Windows
^^^^^^^

Download and setup `Python 2.6 or
later <https://www.python.org/downloads/windows/>`__,
`PyQt4 <https://www.riverbankcomputing.com/software/pyqt/download>`__
and `install lxml <http://lxml.de/installation.html>`__.

Open cmd and go to `labelImg <#labelimg>`__ directory

.. code::

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

Get from PyPI
~~~~~~~~~~~~~~~~~
.. code::

pip install labelimg

I tested pip on Ubuntu14.04 and 16.04. However, I didn't test pip on MacOS and windows

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-defined classes
~~~~~~~~~~~~~~~~~~~~~~~~~~

You can edit the
`data/predefined\_classes.txt <https://github.com/tzutalin/labelImg/blob/master/data/predefined_classes.txt>`__
to load pre-defined classes

Hotkeys
~~~~~~~

+------------+--------------------------------------------+
| Ctrl + u | Load all of the images from a directory |
+------------+--------------------------------------------+
| Ctrl + r | Change the default annotation target dir |
+------------+--------------------------------------------+
| Ctrl + s | Save |
+------------+--------------------------------------------+
| Ctrl + d | Copy the current label and rect box |
+------------+--------------------------------------------+
| Space | Flag the current image as verified |
+------------+--------------------------------------------+
| w | Create a rect box |
+------------+--------------------------------------------+
| d | Next image |
+------------+--------------------------------------------+
| a | Previous image |
+------------+--------------------------------------------+
| del | Delete the selected rect box |
+------------+--------------------------------------------+
| Ctrl++ | Zoom in |
+------------+--------------------------------------------+
| Ctrl-- | Zoom out |
+------------+--------------------------------------------+

How to contribute
~~~~~~~~~~~~~~~~~

Send a pull request

License
~~~~~~~
`Free software: MIT license <https://github.com/tzutalin/labelImg/blob/master/LICENSE>`_


Related
~~~~~~~

1. `ImageNet Utils <https://github.com/tzutalin/ImageNet_Utils>`__ to
download image, create a label text for machine learning, etc

.. |Build Status| image:: https://travis-ci.org/tzutalin/labelImg.png
:target: https://travis-ci.org/tzutalin/labelImg


=======
History
=======

1.3.0 (2017-04-22)
------------------

* Fix issues
* Add difficult tag
* Create new files for pypi

1.2.3 (2017-04-22)
------------------

* Fix issues

1.2.2 (2017-01-09)
------------------

* Fix issues

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

labelImg-1.3.1.tar.gz (348.4 kB view details)

Uploaded Source

File details

Details for the file labelImg-1.3.1.tar.gz.

File metadata

  • Download URL: labelImg-1.3.1.tar.gz
  • Upload date:
  • Size: 348.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for labelImg-1.3.1.tar.gz
Algorithm Hash digest
SHA256 4bbc1e140ed0cf7be1eb92f70caf7e60ee0c5d66edebaffe479268dad6cfe3e9
MD5 4738858569e3728914cd80a9e2c7852b
BLAKE2b-256 d68d92223f82bbd6dcc6ce88e11687f93bdf3ed87150a7587ba1c68eba70d292

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page