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- URN to cite this document:
- urn:nbn:de:bvb:355-epub-440677
- DOI to cite this document:
- 10.5283/epub.44067
Abstract
Premise The generation of morphological data in evolutionary, taxonomic, and ecological studies of plants using herbarium material has traditionally been a labor‐intensive task. Recent progress in machine learning using deep artificial neural networks (deep learning) for image classification and object detection has facilitated the establishment of a pipeline for the automatic recognition and ...

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