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Hackathon Challenge: Difference between revisions
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***This will allow some algorithms to exploit spatial information to identify elements. This format is, however, not a main focus for this hackathon. | ***This will allow some algorithms to exploit spatial information to identify elements. This format is, however, not a main focus for this hackathon. | ||
*Those wishing to pursue other goals such as image segmentation, finding specific elements, or improving usability & user interfaces to the OCR and parsing tools are encouraged to do so and report back to the group at the hackathon. | *Those wishing to pursue other goals such as image segmentation, finding specific elements, or improving usability & user interfaces to the OCR and parsing tools are encouraged to do so and report back to the group at the hackathon. | ||
== Metrics and Evaluation == | |||
*CSV files generated by participants will be compared with CSV files created by humans. | |||
*Metrics evaluation code will be in javascript or phython - Alex Thompson (iDigBio IT)...and can then be run by participants as desired in sequential attempts to improve the result. | |||
**A Presence-Absence matrix | |||
**Confusion Matrix | |||
**F-Score (weighs correct / incorrect answers) | |||
*Graphics may be created | |||
**For example, with an F-score for each dwc element entry, we can generate a graph / histogram | |||
Back to the [[2013 AOCR Hackathon Wiki| Hackathon Wiki]] | Back to the [[2013 AOCR Hackathon Wiki| Hackathon Wiki]] | ||