Difference between revisions of "2013 AOCR Hackathon Wiki"

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   how to get OCR to ignore a map (reduce OCR confusion)
 
   how to get OCR to ignore a map (reduce OCR confusion)
 
   ... and ___ present a challenge and confuse OCR and parsing.
 
   ... and ___ present a challenge and confuse OCR and parsing.
   figure out an algorithm that would separate images into sets with no handwriting, little handwriting (mostly text typed or printed), lots of handwriting
+
   figure out an algorithm that would separate images into sets with
 +
      no handwriting, little handwriting (mostly text typed or printed), lots of handwriting
  
 
link to user interface wish list
 
link to user interface wish list

Revision as of 19:17, 18 December 2012

Note: This wiki page undergoing frequent updates.

  • Those participating in the first iDigBio AOCR Hackathon need an iDigBio account.
  • Some participants have wiki edit permissions and will add to / update / edit these pages before, during and after the hackathon.

2013 Hackathon Participant List

2013 Hackathon Call for Participation

2013 Hackathon Application Form*

2013 Hackathon Travel, Food, Lodging, Connectivity Logistics

link to page/s describing the problem, the specific challenge and metrics to be used

   link about "core" fields

link to explanations of the 3 data sets

  set 1: LBCC label images
  set 2: NYBG and BRIT label images
  set 3: CalBug ENT label images

link to page summarizing the rules we followed to transcribe the gold set (and others)

link to data examples

link to hackathon mailing list (Kevin will create)

link to a page listing known "specific" issues / challenges

  how to get OCR to ignore a map (reduce OCR confusion)
  ... and ___ present a challenge and confuse OCR and parsing.
  figure out an algorithm that would separate images into sets with
     no handwriting, little handwriting (mostly text typed or printed), lots of handwriting

link to user interface wish list

  link labelx to apiary and symbiota
  what else?
*Thank you Nesent, Hilmar Lapp and the HIP working group for this model.