Digitization Projects Using OCR / ML / NLP

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Use Cases for OCR / ML / NLP in Current Digitization Efforts


Royal Botanic Garden Edinburgh 
(description of the scope of the digitization and where / how OCR / ML / NLP is being used goes here).
Royal Botanic Garden Kew 
(description of the scope of the digitization and where / how OCR / ML / NLP is being used goes here).
BRIT 
(description of the scope of the digitization and where / how OCR / ML / NLP is being used goes here).
Specify6 users 
(description of the scope of the digitization and where / how OCR / ML / NLP is being used goes here).
LBCC TCN using Symbiota 
(description of the scope of the digitization and where / how OCR / ML / NLP is being used goes here).
MaCC TCN using ABBYY 
(description of the scope of the digitization and where / how OCR / ML / NLP is being used goes here).
Arizona State University 
The SALIX Method - a workflow for herbarium specimen digitization using OCR and automatic parsing. Video tutorials available here ASU Herbarium YouTube Channel; publication in Taxon currently in press.

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