FedCSIS 2018

ESENSEI Challenge is a data mining competition, whereby the task is to design an algorithm for accurate marking of follicle positions on microscopic images.

Topic outline

  • In analyses of hair and scalp disorders based on microscopic images, one of the basic parameters are coordinates of the follicular openings – the places, where hair appears on the skin. The purpose of this challenge is to find the most effective and robust algorithm to generate the complete "map" of follicular openings on the image. The potential applications of this “map”, apart from hair disorder diagnosis, include biometry as it has similar properties to fingerprints – is unique for the individual and the location on the scalp.

    More details regarding the task and a description of the competition data can be found in Task description section.

    Awards: Authors of the top-ranked solutions (based on the final evaluation scores) will be awarded prizes funded by our sponsor:

    • First Prize: 1000 USD 
    • Second Prize: 500 USD 

    Schedule:

    • April 27, 2018: start of the competition, training data become available,
    • June 9, 2018 (23:59 GMT): deadline for submitting the predictions,
    • June 10, 2018 (23:59 GMT): deadline for sending the reports, end of the competition,
    • June 15, 2018: online publication of the final results.

    Contest Organizing Committee:

    • Andrzej Janusz, University of Warsaw & eSensei
    • Dominik Ślęzak, University of Warsaw & eSensei
    • Łukasz Grad, University of Warsaw & eSensei
    • Marcin Iwanowski, Warsaw University of Technology
    • Halina Kwaśnicka, Wrocław University of Technology

    In case of any questions please post on the competition forum or write an email at janusza {at} mimuw.edu.pl.

  • Challenge information and data

    Below is a link to Terms and Conditions of the competition. They MUST be read and accepted in order to enroll.

  • This topic

    Summary

    Summary and information about thfinal results, not available until the competition ends.