2013 AOCR Hackathon Wiki: Difference between revisions
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parse to find values for these [[2013 hackathon data elements| "core" fields]] | parse to find values for these [[2013 hackathon data elements| "core" fields]] | ||
link to explanations of the 3 data sets | link to explanations and examples of the 3 data sets | ||
set 1: LBCC label images | set 1: LBCC label images | ||
set 2: NYBG and BRIT label images | set 2: NYBG and BRIT label images | ||
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[[Text Transcription Issues]] | [[Text Transcription Issues]] | ||
link to a page listing known "specific" issues / challenges | link to a page listing known "specific" issues / challenges |
Revision as of 18:27, 10 January 2013
Welcome to the 2013 iDigBio AOCR Hackathon Wiki
- Short URL to this hackathon wiki http://tinyurl.com/aocrhackathonwiki
- Those participating in the first iDigBio AOCR Hackathon need an iDigBio account.
- Note: This wiki page undergoing frequent updates and some participants have wiki edit permissions and will add to / update / edit these pages before, during and after the hackathon.
Links to Logistics, Communication and Participant Information
2013 Hackathon Participant List
2013 Hackathon Call for Participation
2013 Hackathon Application Form*
2013 Hackathon Travel, Food, Lodging, Connectivity Logistics
2013 Hackathon Listserv, a mailing list for Hackathon Participants at aocr-hackathon-l@lists.ufl.edu
link to page/s describing the problem, the specific challenge and metrics to be used
parse to find values for these "core" fields
link to explanations and examples 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 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.