Electronically Cataloguing Butterflies: Difference between revisions

From Computer Laboratory Group Design Projects
Jump to navigationJump to search
(Created page with "Contact: Matthew Hayes, UMZC <mph51@cam.ac.uk> The University Museum of Zoology, Cambridge (UMZC) has over two million specimens stored behind the scenes, which were coll...")
 
 
(One intermediate revision by the same user not shown)
Line 1: Line 1:
Contact: Matthew Hayes, [[UMZC]] <mph51@cam.ac.uk>
Contact: Matthew Hayes, [[UMZC]] <mph51@cam.ac.uk>


The University Museum of Zoology, Cambridge (UMZC) has over two million specimens stored behind the scenes, which were collected over the last 200 years by famous naturalists such as Charles Darwin. Due to their age, it was not possible to electronically catalogue the vast majority of these specimens at the time of their collection. Therefore, many had their details transcribed by hand and their records now exist in physical log books, which are not easily accessible to most audiences. Your task is to use optical character recognition and machine learning to transcribe the notebook of one individual into an electronic database (such as an excel spreadsheet). Working with the UMZC and Peterborough Museum, you will get the chance to go behind the scenes and view collections usually inaccessible to the public and use cutting edge techniques to help solve real world problems of specimen conservation and data preservation in Museums.
The University's Museum of Zoology (UMZC) stores over two million specimens, were collected over 200 years by naturalists including Charles Darwin. Their age means most could not be electronically catalogued at the time of their collection so many had their details transcribed by hand into physical log books, inaccessible to most audiences. Your task is to use optical character recognition and machine learning to transcribe the notebook of one individual into an electronic database or spreadsheet. This may involve going behind the scenes and viewing collections usually inaccessible to the public.

Latest revision as of 22:20, 19 November 2019

Contact: Matthew Hayes, UMZC <mph51@cam.ac.uk>

The University's Museum of Zoology (UMZC) stores over two million specimens, were collected over 200 years by naturalists including Charles Darwin. Their age means most could not be electronically catalogued at the time of their collection so many had their details transcribed by hand into physical log books, inaccessible to most audiences. Your task is to use optical character recognition and machine learning to transcribe the notebook of one individual into an electronic database or spreadsheet. This may involve going behind the scenes and viewing collections usually inaccessible to the public.