FreeLabel: A Publicly Available Annotation Tool Based on Freehand Traces

@article{Dias2019FreeLabelAP,
  title={FreeLabel: A Publicly Available Annotation Tool Based on Freehand Traces},
  author={Philipe A. Dias and Zhou Shen and Amy Tabb and Henry Medeiros},
  journal={2019 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year={2019},
  pages={21-30}
}
Large-scale annotation of image segmentation datasets is often prohibitively expensive, as it usually requires a huge number of worker hours to obtain high-quality results. Abundant and reliable data has been, however, crucial for the advances on image understanding tasks recently achieved by deep learning models. In this paper, we introduce FreeLabel, an intuitive open-source web interface that allows users to obtain high-quality segmentation masks with just a few freehand scribbles, in a… CONTINUE READING
12
Twitter Mentions

Citations

Publications citing this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 51 REFERENCES

Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  • 2018
VIEW 1 EXCERPT

Deep Extreme Cut: From Extreme Points to Object Segmentation

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  • 2018
VIEW 1 EXCERPT

Similar Papers

Loading similar papers…