five

Photometric stereo training data set with annotated leaf masks

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DataCite Commons2025-05-26 更新2025-04-17 收录
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https://datashare.ed.ac.uk/handle/10283/3280
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资源简介:
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 work done in the BBSRC Tools and Resources Development project BB/N02334X/1.
提供机构:
University of Edinburgh. School of Biological Sciences. Institute of Molecular Plant Sciences
创建时间:
2019-03-25
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