Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 15 g per s and a Mixing Ratio of 90 vs. 10 %

This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer, Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking,Transactions on Industrial Electronics, February 2020. See also the project website. This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub https://github.com/geomai/debayer_bonito. The frame rate is approximately 192 Hz. To this date, publications that used this data include Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck, GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs, 22nd IFAC World Congress, Yokohama, Japan, July 2023. Acknowledgment The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.

本数据集包含传送带上块状物料（砖块与灰砂砖）的图像。相关图像由小型光学带式分选机（Tablesort）采集。关于该系统的详细说明可参阅Georg Maier、Florian Pfaff、Christoph Pieper、Robin Gruna、Benjamin Noack、Harald Kruggel-Emden、Thomas Längle、Uwe D. Hanebeck及Jürgen Beyerer发表于《IEEE工业电子学汇刊（Transactions on Industrial Electronics）》2020年2月刊的论文《一种基于传感器的新型分选方法的实验评估：融合预测性实时多目标跟踪（Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking）》。亦可参考项目官方网站。
本数据集属于一批针对建筑及拆除废料的录制数据集，该批次物料为传送带上的砖块与灰砂砖，采集场景为光学分选机。请使用搜索功能，以带引号的关键词"Images of Construction and Demolition Waste"检索相关内容。
本数据集由Bonito CL-400C相机采集。可参阅GitHub平台上的去拜耳化（debayer）脚本：https://github.com/geomai/debayer_bonito。采集帧率约为192 Hz。
截至目前，使用本数据集的已发表文献包括Marcel Reith-Braun、Albert Bauer、Maximilian Staab、Florian Pfaff、Georg Maier、Robin Gruna、Thomas Längle、Jürgen Beyerer、Harald Kruggel-Emden及Uwe D. Hanebeck发表于2023年7月日本横滨第22届国际自动控制联合会世界大会（22nd IFAC World Congress）的论文《GridSort：基于图像的卷积长短期记忆网络（Convolutional LSTMs）光学块状物料分选（GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs）》。
致谢：本研究由德国联邦经济事务与气候行动部依据德国联邦议院决议，通过AiF资助的工业共同体研究与发展（Industrial Community Research and Development, IGF）项目计划提供支持，对应研究协会Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) 的IGF项目编号20354 N。