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The dataset "pallet-block-pallet-block-98382_3270" contains images of 98,382 real chipwood pallet blocks, of which 3-4 pictures each were taken from 2 different perspectives, with 2 different cameras, amounting to a total of 280,763 images. Additionally, the dataset contains a filtered amount of 42,510 artificially GAN-generated images consisting of 3,270 artificial pallet-block entities. Also, the raw artificial data consisting of 143,000 images of 11,000 pallet-block entities is included. This dataset is an addition to the dataset "pallet- block-32965". More information and a scientific publication on this dataset are following soon. This dataset is part of a collaboration between TU Dortmund University, Ruhr-University Bochum and the Fraunhofer Institue for Material Flow and Logistics. If you have any questions concerning this dataset, feel free to contact us at Christian Pionzewski and 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. This research for this dataset has partly been funded by the Federal Ministry of Education and Research of Germany and the state of North-Rhine Westphalia as part of the Lamarr-Institute for Machine Learning and Artificial Intelligence.
re-identification, deep learning, EUR-pallets, computer vision
re-identification, deep learning, EUR-pallets, computer vision
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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