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martinschatz-cz/SciCount: v1.0.0 with reusable example notebooks

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 02 Aug 2022Publisher:Zenodo
Authors: Schätz, Martin; Mrazík, Lukáš; Máhlerova, Karolina;

doi: 10.5281/zenodo.6953610 , 10.5281/zenodo.6953609

martinschatz-cz/SciCount: v1.0.0 with reusable example notebooks

Abstract

The first version contains an example of augmentation of scientific data and object detection with YOLO_v5 on colony counting (2 classes), object counting in blood smears (can be used as semisupervised learning for faster annotation), and wildlife detection from night records with a camera trap. The project is available on GitHub.

Keywords

YOLO v5, deep learning, object detection, bioimage analysis, scientific image

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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