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GinJinn2: Object detection and segmentation for ecology and evolution

URN to cite this document:
urn:nbn:de:bvb:355-epub-513501
DOI to cite this document:
10.5283/epub.51350
Ott, Tankred ; Lautenschlager, Ulrich
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License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 11 Jan 2022 07:03

This publication is part of the DEAL contract with Wiley.


Abstract

Collection and preparation of empirical data still represent one of the most important, but also expensive steps in ecological and evolutionary/systematic research. Modern machine learning approaches, however, have the potential to automate a variety of tasks, which until recently could only be performed manually. Unfortunately, the application of such methods by researchers outside the field is ...

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