The dataset "pallet-block-pallet-block-2696" contains images of 60 real chipwood pallet blocks, of which 3 pictures each were taken from 3 different perspectives, each week over a period of 3-4 months, resulting in a total amount of 2696 images. This dataset serves the purpose of collecting data about the robustness of re-identification over time, when the objects are exposed to natural degration and damage. In addition to the data itself, the models aswell as detailed logs for each experiment in the paper are uploaded as well. This dataset is an addition to the dataset "pallet- block-98382_3270" and is part of a scientific publication for the ICMLA24. This dataset is part of a collaboration between the Fraunhofer Institue for Material Flow and Logistics and TU Dortmund University. 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. We would like to thank the European Pallet Association for providing us with the pallets used for this work.