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2 results for “chipwood”
pallet-block-502 – A chipwood re-identification dataset
<p>The dataset "pallet-block-502" contains images of 502 chipwood pallet blocks, of which 10 pictures each were taken from different, labeled perspectives, amounting to a total of 5020 images. This dataset is an integral part of our publication <a href="https://ieeexplore.ieee.org/abstract/document/9613250">"Towards Re-Identification for Warehousing Entities – A Work-in-Progress Study"</a>, in which it was used for the purpose of re-identification.<strong> Therefore, if you use this dataset for research, please cite this publication.</strong></p> <p>The specifications of the camera models that were used can be found on <a href="https://github.com/ChrsPi/Towards-Re-Identification-for-Warehousing-Entities">github</a>. Further information on how to use the dataset can be taken from the above mentioned publication. The sucessor of this dataset is <a href="https://zenodo.org/record/6358607">"pallet-block-32965"</a>. Both datasets are part of a collaboration between TU Dortmund University and Fraunhofer IML. Another related re-identification dataset is <a href="https://zenodo.org/record/7386956">"galvanized-636"</a>.</p> <p>If you have any questions concerning this dataset, feel free to contact the corresponding author, <a href="https://www.linkedin.com/in/jeromerutinowski/">Jérôme Rutinowski</a>.</p> <p>This work is part of the project "Silicon Economy Logistics Ecosystem" which is funded by the German Federal Ministry of Transport and Digital Infrastructure.</p>
pallet-block-32965 – A chipwood re-identification dataset
<p>The dataset "<strong>pallet-block-32965</strong>" 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 <a href="https://zenodo.org/record/6353714">"pallet- block-502"</a>. This dataset is an integral part of our publication "<a href="https://ieeexplore.ieee.org/abstract/document/10068869">Deep Learning Based Re-Identification of Wooden Euro-pallets</a>", in which it was used for the purpose of re-identification. <strong>Therefore, if you use this dataset for research, please cite this publication.</strong></p> <p>This dataset is part of a collaboration between TU Dortmund University and Fraunhofer IML. Another related re-identification dataset is <a href="https://zenodo.org/record/7386956">"galvanized-636"</a>. If you have any questions concerning this dataset, feel free to contact <a href="https://www.linkedin.com/in/jeromerutinowski/">Jérôme Rutinowski</a>.</p> <p>This work is part of the project "Silicon Economy Logistics Ecosystem" which is funded by the German Federal Ministry of Transport and Digital Infrastructure.</p>
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