Simple Image Annotation Tool.

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  • License: MIT License (MIT)
  • Author: mpitid
  • Tags Image Annotation , Machine Learning
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Project description

# Labelme

Labelme is a graphical image annotation tool inspired by http://labelme.csail.mit.edu.

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

## Dependencies

Labelme 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).

## Usage

After cloning the code you should first run make to generate the resource file (a Python module containing all the icons).

You can then start annotating by running ./labelme.py. For usage instructions you can view the screencast tutorial from the Help menu.

At the moment annotations are saved as a [JSON](http://www.json.org/) file. The file includes the image itself. In the feature support for XML output or possibly even [SVG](http://www.w3.org/Graphics/SVG/) will be added.

## TODO

  • Refactor into a Python package.

  • Add installation script.

Project details

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Avatar for wkentaro from gravatar.com wkentaro

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  • License: MIT License (MIT)
  • Author: mpitid
  • Tags Image Annotation , Machine Learning
Classifiers

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5.11.3

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