Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Younis, Sohaib; Schmidt, Marco; Dressler, Stefan (2020): Plant organ detections and annotations on digitized herbarium scans [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.920895

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
This sample dataset contains digitized herbarium scans, taken from Herbarium Senckenbergianum collection, labeled with six types of plant organs. There are two types of labels, detections and annotations respectively. The detections were predicted using deep learning based object detection model and annotations were done manually based on those predictions.
Keyword(s):
herbarium specimen; image annotation; organ detection; plant organs
Supplement to:
Younis, Sohaib; Schmidt, Marco; Dressler, Stefan (submitted): Detection and Annotation of Plant Organs from Digitized Herbarium Scans using Deep Learning. Biodiversity Data Journal
Size:
1.3 GBytes

Download Data

Download dataset