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2013 AOCR Hackathon Wiki: Difference between revisions
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→Three Data Sets
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There are three data sets, that is, three different sets of images of museum specimen labels. Participants, working alone or in groups, may work on one or more data sets as they choose. The sets have been ranked, easy, medium, hard, as an estimate of how difficult it might be to successfully get good parsed data from the OCR output from each data set. | There are three data sets, that is, three different sets of images of museum specimen labels. Participants, working alone or in groups, may work on one or more data sets as they choose. The sets have been ranked, easy, medium, hard, as an estimate of how difficult it might be to successfully get good parsed data from the OCR output from each data set. | ||
:::; Set 1 (easy) : 10,000 Lichens, Bryophyte and Climate Change TCN, lichen and bryophyte packet labels. These are considered easy because these jpg images are of the label only and data on the label is mostly typed or printed with little or no handwriting present. | :::; Set 1 (easy) : 10,000 Lichens, Bryophyte and Climate Change TCN, lichen and bryophyte packet labels. These are considered easy because these jpg images are of the label only and data on the label is mostly typed or printed with little or no handwriting present. | ||
:::; Set 2 (medium) : 5,000 Botanical Research Institute of Texas (BRIT) Herbarium and 5,000 New York Botanical Garden Herbarium specimen sheets. These are full sheets and again, most have been pre-selected to focus on labels containing mostly print or typed text and little handwriting. Note there are exceptions in order to make a more realistic (and more difficult) data set. | :::; Set 2 (medium) : 5,000 Botanical Research Institute of Texas (BRIT) Herbarium and 5,000 New York Botanical Garden Herbarium specimen sheets. These are full sheets and again, most have been pre-selected to focus on labels containing mostly print or typed text and little handwriting. Note there are exceptions in order to make a more realistic (and more difficult) data set. | ||
:::; Set 3 (hard): Several thousand images from the Essig Museum and the CalBug project. The gold set has not yet been created for these (in progress). Silver set creation needs to be discussed. | :::; Set 3 (hard): Several thousand images from the Essig Museum and the CalBug project. The gold set has not yet been created for these (in progress). Silver set creation needs to be discussed. | ||