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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 "Towards Re-Identification for Warehousing Entities – A Work-in-Progress Study", in which it was used for the purpose of re-identification. Therefore, if you use this dataset for research, please cite this publication. The specifications of the camera models that were used can be found on github. Further information on how to use the dataset can be taken from the above mentioned publication. The sucessor of this dataset is "pallet-block-32965". Both datasets are 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 the corresponding author, 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.
re-identification, deep learning, EUR-pallets, chipwood
re-identification, deep learning, EUR-pallets, chipwood
citations 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). | 0 | |
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. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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