LabelImg is a graphical image annotation tool and label object bounding boxes in images
Project description
# LabelImg
[![Build Status](https://travis-ci.org/tzutalin/labelImg.png)](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/).
![](demo/demo3.jpg)
[Watch a demo video by author tzutalin](https://youtu.be/p0nR2YsCY_U)
## Get it
### 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
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](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]
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'
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
[License](LICENSE.md)
### Related
1. [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc
=======
History
=======
1.2.3 (2017-04-22)
------------------
* Fix issues
1.2.2 (2017-01-09)
------------------
* Fix issues
[![Build Status](https://travis-ci.org/tzutalin/labelImg.png)](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/).
![](demo/demo3.jpg)
[Watch a demo video by author tzutalin](https://youtu.be/p0nR2YsCY_U)
## Get it
### 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
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](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]
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'
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
[License](LICENSE.md)
### Related
1. [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc
=======
History
=======
1.2.3 (2017-04-22)
------------------
* Fix issues
1.2.2 (2017-01-09)
------------------
* Fix issues
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