ML Anthology

FruitBin: A Tunable Large-Scale Dataset for Advancing 6d Pose Estimation in Fruit Bin-Picking Automation

Guillaume Duret, Mahmoud Ali, Nicolas Cazin, Danylo Mazurak, Anna Samsonenko, Alexandre Chapin, Florence Zara, Emmanuel Dellandréa, Liming Chen, Jan Peters
ECCVW 2024 pp. 73-90
doi:10.1007/978-3-031-91569-7_6 /eccvw/2024/duret2024eccvw-fruitbin/
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Cite

Text

Duret et al. "FruitBin: A Tunable Large-Scale Dataset for Advancing 6d Pose Estimation in Fruit Bin-Picking Automation." European Conference on Computer Vision Workshops, 2024. doi:10.1007/978-3-031-91569-7_6

Markdown

[Duret et al. "FruitBin: A Tunable Large-Scale Dataset for Advancing 6d Pose Estimation in Fruit Bin-Picking Automation." European Conference on Computer Vision Workshops, 2024.](https://mlanthology.org/eccvw/2024/duret2024eccvw-fruitbin/) doi:10.1007/978-3-031-91569-7_6

BibTeX

@inproceedings{duret2024eccvw-fruitbin,
  title     = {{FruitBin: A Tunable Large-Scale Dataset for Advancing 6d Pose Estimation in Fruit Bin-Picking Automation}},
  author    = {Duret, Guillaume and Ali, Mahmoud and Cazin, Nicolas and Mazurak, Danylo and Samsonenko, Anna and Chapin, Alexandre and Zara, Florence and Dellandréa, Emmanuel and Chen, Liming and Peters, Jan},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2024},
  pages     = {73-90},
  doi       = {10.1007/978-3-031-91569-7_6},
  url       = {https://mlanthology.org/eccvw/2024/duret2024eccvw-fruitbin/}
}