SteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation

The SteelDS dataset is a high-resolution video and image repository optimized for instance segmentation, object detection, object tracking, and material classification tasks within industrial metal recycling automation. The dataset specifically targets shredded E40-grade steel and copper scrap particles under simulated industrial conveyor belt conditions. Please cite the following paper if you use this dataset in your research: Melanie Neubauer, Christian Rauch, Gerald Koinig, Alexia Tischberger-Aldrian, Roland Pomberger, Elmar Rueckert. "SteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation", arXiv:2605.26682 [cs.RO], 2026. BibTeX:@misc{neubauer2026steelds, author = {Neubauer, Melanie and Rauch, Christian and Koinig, Gerald and Tischberger-Aldrian, Alexia and Pomberger, Roland and Rueckert, Elmar}, title = {{SteelDS}: A High-Resolution Video Dataset of {E40} Steel Scrap for Object Detection and Instance Segmentation}, year = {2026}, eprint = {2605.26682}, archivePrefix = {arXiv}, primaryClass = {cs.RO}, doi = {10.48550/arXiv.2605.26682}, url = {https://arxiv.org/abs/2605.26682}}