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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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Date of publication of this fulltext: 11 Jan 2022 07:03


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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