Asger Svenning
@asgersvenning.com
Ph.D. student in Applied Biology, Ecoscience, Aarhus University. Interests in conservation, biodiversity informatics, scalable analyses, deep learning etc.
Naturalist by heart, enjoying botanizing and hiking in my free time.
Naturalist by heart, enjoying botanizing and hiking in my free time.
Oops, SVG illustrations are nice though! ;)
October 21, 2025 at 3:02 PM
Oops, SVG illustrations are nice though! ;)
Not entirely sure of the species, but definitely an umbellifer/Apiaceae of some kind.
There are many great species for pollinators within it depending on where you live, such as wild carrot (D. carota) or Ammi majus (which the plant in the image may be) or many others.
There are many great species for pollinators within it depending on where you live, such as wild carrot (D. carota) or Ammi majus (which the plant in the image may be) or many others.
April 18, 2025 at 9:19 PM
Not entirely sure of the species, but definitely an umbellifer/Apiaceae of some kind.
There are many great species for pollinators within it depending on where you live, such as wild carrot (D. carota) or Ammi majus (which the plant in the image may be) or many others.
There are many great species for pollinators within it depending on where you live, such as wild carrot (D. carota) or Ammi majus (which the plant in the image may be) or many others.
Dataset: doi.org/10.5281/zeno...
Big thanks to my co-authors: Quentin Geissmann, Guillaume Mougeot, Toke T Høye, Juli Carrillo, Jamie Alison, Daphne Chevalier, Kim Bjerge, Nisa Molina, and Song-Quan Ong, as well as everyone else who contributed with data or annotations.
Big thanks to my co-authors: Quentin Geissmann, Guillaume Mougeot, Toke T Høye, Juli Carrillo, Jamie Alison, Daphne Chevalier, Kim Bjerge, Nisa Molina, and Song-Quan Ong, as well as everyone else who contributed with data or annotations.
flatbug-dataset a compilation of dataset of terrestrial arthropodes on various surfaces
This dataset is a compilation of 23 datasets all individually described in their respective DOI entry. The complete dataset was used to train "flatbug" a generalist instance segmentation algorithm tha...
doi.org
April 14, 2025 at 5:21 PM
Dataset: doi.org/10.5281/zeno...
Big thanks to my co-authors: Quentin Geissmann, Guillaume Mougeot, Toke T Høye, Juli Carrillo, Jamie Alison, Daphne Chevalier, Kim Bjerge, Nisa Molina, and Song-Quan Ong, as well as everyone else who contributed with data or annotations.
Big thanks to my co-authors: Quentin Geissmann, Guillaume Mougeot, Toke T Høye, Juli Carrillo, Jamie Alison, Daphne Chevalier, Kim Bjerge, Nisa Molina, and Song-Quan Ong, as well as everyone else who contributed with data or annotations.
GitHub: github.com/darsa-group/...
We also set a precedent for robust evaluation of machine learning methods for applications within not only biodiversity monitoring, but also ecology as a broader subject, pushing beyond simple averaged metrics and random mixing of training and testing data.
We also set a precedent for robust evaluation of machine learning methods for applications within not only biodiversity monitoring, but also ecology as a broader subject, pushing beyond simple averaged metrics and random mixing of training and testing data.
GitHub - darsa-group/flat-bug: Flatbug is a hyperinference and trained YOLOv8 model zoo, with a bespoke diverse dataset of the same name.
Flatbug is a hyperinference and trained YOLOv8 model zoo, with a bespoke diverse dataset of the same name. - GitHub - darsa-group/flat-bug: Flatbug is a hyperinference and trained YOLOv8 model zoo...
github.com
April 14, 2025 at 5:21 PM
GitHub: github.com/darsa-group/...
We also set a precedent for robust evaluation of machine learning methods for applications within not only biodiversity monitoring, but also ecology as a broader subject, pushing beyond simple averaged metrics and random mixing of training and testing data.
We also set a precedent for robust evaluation of machine learning methods for applications within not only biodiversity monitoring, but also ecology as a broader subject, pushing beyond simple averaged metrics and random mixing of training and testing data.
Preprint: www.biorxiv.org/content/10.1...
We introduce flatbug—an easy-to-use, versatile tool for detecting and segmenting insects and arthropods from many types of images. The tool aims to accelerate insect biodiversity monitoring, laboratory experiments and ecological studies.
We introduce flatbug—an easy-to-use, versatile tool for detecting and segmenting insects and arthropods from many types of images. The tool aims to accelerate insect biodiversity monitoring, laboratory experiments and ecological studies.
A General Method for Detection and Segmentation of Terrestrial Arthropods in Images
To better understand the status and trends of insects and other arthropods, emerging technologies like image recognition are developing rapidly. This is creating a strong demand for efficient and accu...
www.biorxiv.org
April 14, 2025 at 5:21 PM
Preprint: www.biorxiv.org/content/10.1...
We introduce flatbug—an easy-to-use, versatile tool for detecting and segmenting insects and arthropods from many types of images. The tool aims to accelerate insect biodiversity monitoring, laboratory experiments and ecological studies.
We introduce flatbug—an easy-to-use, versatile tool for detecting and segmenting insects and arthropods from many types of images. The tool aims to accelerate insect biodiversity monitoring, laboratory experiments and ecological studies.