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Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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pallet-block-32965 – A chipwood re-identification dataset

Authors: Rutinowski, Jérôme; Chilla, Tim; Pionzewski, Christian;

pallet-block-32965 – A chipwood re-identification dataset

Abstract

The dataset "pallet-block-32965" contains images of 32965 chipwood pallet blocks, of which 4 pictures each were taken from 2 different perspectives, with 2 different cameras, amounting to a total of 131860 images. This dataset is the successor of the dataset "pallet- block-502". This dataset is an integral part of our publication "Deep Learning Based Re-Identification of Wooden Euro-pallets", in which it was used for the purpose of re-identification. Therefore, if you use this dataset for research, please cite this publication. This dataset is part of a collaboration between TU Dortmund University and Fraunhofer IML. Another related re-identification dataset is "galvanized-636". If you have any questions concerning this dataset, feel free to contact Jérôme Rutinowski. This work is part of the project "Silicon Economy Logistics Ecosystem" which is funded by the German Federal Ministry of Transport and Digital Infrastructure.

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Keywords

re-identification, deep learning, EUR-pallets, chipwood

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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