Introducing Euclid, a labeller for image-datasets

Introduction:
Euclid is a tool for manual labelling of data - sets, such as those found in Deep learning systems that employ Caffe. This includes systems like DIGITS, and YOLO. It is an object / class labelling tool for machine learning frameworks.

https://github.com/prabindh/euclid/

This tool runs on Linux and Windows, and is based on Python 2.7/Tkinter. Though the UI is a bit clunky it is functional at this point.

Label format support:

The tool supports Kitti data-set output format, and YOLO output format at this time.

For the actual format, see the below link, or the Kitti dataset development kit.

https://github.com/NVIDIA/DIGITS/tree/master/examples/object-detection

Screenshot:

https://github.com/prabindh/euclid/blob/master/euclid.png

See also, SLOTH, for variety of xml format support,

http://sloth.readthedocs.org/en/latest/

And also, for PASCAL dataset,

https://github.com/tzutalin/labelImg

Euclid now referred in DIGITS pages:

https://github.com/NVIDIA/DIGITS/issues/1248

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