Published December 18, 2020
| Version v1
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Figure 6a 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 6a Sample results of organ detection performed on unseen full scale Herbarium Senckenbergianum scans. Colour scheme for bounding boxes is; Leaf:Blue, Flower:Maroon, Fruit:Magenta, Seed:Yellow, Stem:Green, Root:Grey. -
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- Journal article: 10.3897/BDJ.8.e57090 (DOI)