MVTec ITODD
Industry
|...
许可协议: Unknown

Overview

The MVTec Industrial 3D Object Detection Dataset (MVTec ITODD) is a public dataset for 3D object detection and pose estimation with a strong focus on industrial settings and applications.

The dataset consists of

  • 28 objects and 3500 labeled scenes containing instances of these objects
  • Five sensors (two 3D sensors and three grayscale cameras) observing each scene

Citation

If you use the dataset in scientific work, please cite

@INPROCEEDINGS{8265467,
    author={B. {Drost} and M. {Ulrich} and P. {Bergmann} and P. {Härtinger} and C. {Steger}},
 booktitle={2017 IEEE International Conference on Computer Vision Workshops (ICCVW)},
    title={Introducing MVTec ITODD — A Dataset for 3D Object Recognition in Industry},
    year={2017},  volume={},  number={},  pages={2200-2208},
}
数据概要
数据格式
Image,
数据量
--
文件大小
--
发布方
MVTec
MVTec Software GmbH is a leading international manufacturer of software for machine vision used in all demanding areas of imaging like the semiconductor industry, surface inspection, automatic optical inspection systems, quality control, metrology, medicine, or surveillance. In particular, software by MVTec enables new automation solutions for the Industrial Internet of Things by providing modern technologies like 3D vision, deep learning, and embedded vision.
数据集反馈
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MVTec ITODD
Industry
许可协议: Unknown

Overview

The MVTec Industrial 3D Object Detection Dataset (MVTec ITODD) is a public dataset for 3D object detection and pose estimation with a strong focus on industrial settings and applications.

The dataset consists of

  • 28 objects and 3500 labeled scenes containing instances of these objects
  • Five sensors (two 3D sensors and three grayscale cameras) observing each scene

Citation

If you use the dataset in scientific work, please cite

@INPROCEEDINGS{8265467,
    author={B. {Drost} and M. {Ulrich} and P. {Bergmann} and P. {Härtinger} and C. {Steger}},
 booktitle={2017 IEEE International Conference on Computer Vision Workshops (ICCVW)},
    title={Introducing MVTec ITODD — A Dataset for 3D Object Recognition in Industry},
    year={2017},  volume={},  number={},  pages={2200-2208},
}
数据集反馈
0
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