2 datasets found
  1. P

    PS-Plant dataset Dataset

    • paperswithcode.com
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    PS-Plant dataset Dataset [Dataset]. https://paperswithcode.com/dataset/gytis
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    Description

    Automated leaf segmentation is a challenging area in computer vision. Recent advances in machine learning approaches allowed to achieve better results than traditional image processing techniques; however, training such systems often require large annotated data sets. To contribute with annotated data sets and help to overcome this bottleneck in plant phenotyping research, here we provide a novel photometric stereo (PS) data set with annotated leaf masks. This data set forms part of the work done in the BBSRC Tools and Resources Development project BB/N02334X/1.

  2. O

    PS-Plant dataset

    • opendatalab.com
    zip
    Updated Mar 25, 2019
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    University of Edinburgh (2019). PS-Plant dataset [Dataset]. https://opendatalab.com/OpenDataLab/PS-Plant_dataset
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    zip(34730106678 bytes)Available download formats
    Dataset updated
    Mar 25, 2019
    Dataset provided by
    University of Edinburgh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Automated leaf segmentation is a challenging area in computer vision. Recent advances in machine learning approaches allowed to achieve better results than traditional image processing techniques; however, training such systems often require large annotated data sets. To contribute with annotated data sets and help to overcome this bottleneck in plant phenotyping research, here we provide a novel photometric stereo (PS) data set with annotated leaf masks. This data set forms part of the work done in the BBSRC Tools and Resources Development project BB/N02334X/1.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
PS-Plant dataset Dataset [Dataset]. https://paperswithcode.com/dataset/gytis

PS-Plant dataset Dataset

Explore at:
Description

Automated leaf segmentation is a challenging area in computer vision. Recent advances in machine learning approaches allowed to achieve better results than traditional image processing techniques; however, training such systems often require large annotated data sets. To contribute with annotated data sets and help to overcome this bottleneck in plant phenotyping research, here we provide a novel photometric stereo (PS) data set with annotated leaf masks. This data set forms part of the work done in the BBSRC Tools and Resources Development project BB/N02334X/1.

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