Published December 18, 2020
| Version v1
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Figure 4 from: Younis S, Schmidt M, Weiland C, Dressler S, Seeger B, Hickler T (2020) Detection and annotation of plant organs from digitised herbarium scans using deep learning. Biodiversity Data Journal 8: e57090. https://doi.org/10.3897/BDJ.8.e57090
Authors/Creators
- 1. Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany|Department of Mathematics and Computer Science, Philipps-University Marburg, Marburg, Germany
- 2. Palmengarten der Stadt Frankfurt, Frankfurt am Main, Germany|Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany
- 3. Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany
- 4. Senckenberg Research Institute and Natural History Museum, Frankfurt am Main, Germany
- 5. Department of Mathematics and Computer Science, Philipps-University Marburg, Marburg, Germany
Description
Figure 4 Families of labelled specimens (ordered by number of specimens) with number of labelled plant organs. The share of the plant organs differs between families, which may be due to factors depending on the plant itself and collecting habits (season, selection of identifiable specimens).
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- Journal article: 10.3897/BDJ.8.e57090 (DOI)