Introducing Euclid, a labeller for image-datasets for Yolo, Kitti frameworks

Submitted by prabindh on Sat, 02/04/2017 - 18:57 / /

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. It should also run on Mac, though untested.

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