Max-Planck-Institut für Informatik
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What and Who
Title:The practice of acquiring good labels
Speaker:Omar Alonso
coming from:University of California
Speakers Bio:
Event Type:Talk
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Date, Time and Location
Date:Monday, 11 July 2016
Duration:60 Minutes
Building:E1 4
Engineers and researchers use human computation as a mechanism to produce labeled data sets for product development, research, and experimentation. In a data-driven world, good labels are key. To gather useful results, a successful labeling task relies on many different elements: from clear instructions and user interface design to algorithms for quality control. Furthermore, designing and implementing tasks that produce and use several thousands or millions of labels is different than conducting small scale research investigations. In this talk, I will present a perspective for collecting high quality labels with an emphasis on practical implementations and scalability. I will focus on three main topics: programming crowds, debugging tasks with low agreement, and algorithms for quality control.
Name(s):Daniela Alessi
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
Tags, Category, Keywords and additional notes
Attachments, File(s):
Daniela Alessi/MPI-INF, 07/01/2016 01:29 PM
Last modified:
Uwe Brahm/MPII/DE, 11/24/2016 04:13 PM
  • Daniela Alessi, 07/01/2016 01:33 PM -- Created document.