The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14866116

Kayhan, Osman; Vredebrecht, Bart; van Gemert, Jan (2021): DelftBikes, data underlying the publication: Hallucination In Object Detection-A Study In Visual Part Verification. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/14866116.v2

Dataset

x choose version: version 1 - 2021-07-05

• Artificial Intelligence and Image Processing

Bike part dataset, object detection, Visual inspection, Visual part verification

CC BY-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Osman Kayhan , Bart Vredebrecht , Jan van Gemert

DelftBikes dataset contains 10,000 bike images with 22 densely annotated parts for each bike. Besides, we explicitly annotate all part locations and part states as missing, intact, damaged, or occluded.
Codes: https://github.com/oskyhn/DelftBikes
Citation: Kayhan, O. S., Vredebregt, B., & van Gemert, J. C. (2021). Hallucination In Object Detection-A Study In Visual Part Verification. In 2021 IEEE International Conference on Image Processing (ICIP).
Bibtex: @article{kayhan2021hallucination,title={Hallucination in Object Detection - A Study in Visual Part Verification},author={Osman Semih Kayhan and Bart Vredebregt and Jan C. van Gemert},year={2021},booktitle={2021 IEEE International Conference on Image Processing (ICIP)},organization={IEEE}}

• 2021-07-05 first online, published, posted

4TU.ResearchData

• https://arxiv.org/abs/2106.02523

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Computer Vision Lab