| dc.contributor |
BBSRC - Biotechnology and Biological Sciences Research Council |
|
| dc.contributor |
McCormick, Alistair |
|
| dc.creator |
Scorza, Livia CT |
|
| dc.creator |
Bernotas, Gytis |
|
| dc.creator |
McCormick, Alistair |
|
| dc.date |
2018-10-18T09:16:49Z |
|
| dc.date |
2018-10-19T04:15:12Z |
|
| dc.identifier |
Scorza, Livia; Bernotas, Gytis; McCormick, Alistair. (2018). Photometric stereo dataset with annotated leaf masks, [dataset]. University of Edinburgh. School of Biological Sciences. Institute of Molecular Plant Sciences. https://doi.org/10.7488/ds/2455. |
|
| dc.identifier |
https://hdl.handle.net/10283/3200 |
|
| dc.identifier |
https://doi.org/10.7488/ds/2455 |
|
| dc.description |
## This item has been replaced by the one which can be found at: https://doi.org/10.7488/ds/2514 ##
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 (Scharr et al., 2016; Mengye and Zemel, 2016); however, training such systems often require large annotated datasets (Giuffrida et al., 2017). To contribute with annotated datasets and help to overcome this bottleneck in plant phenotyping research, here we provide a novel photometric stereo (PS) dataset with annotated leaf masks. This dataset forms part of work done in the BBSRC Tools and Resources Development project BB/N02334X/1. |
|
| dc.description |
Please see the "Dataset description.docx" file |
|
| dc.format |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
|
| dc.format |
application/zip |
|
| dc.language |
eng |
|
| dc.publisher |
University of Edinburgh. School of Biological Sciences. Institute of Molecular Plant Sciences |
|
| dc.relation |
https://doi.org/10.7488/ds/2514 |
|
| dc.rights |
Creative Commons Attribution 4.0 International Public License |
|
| dc.title |
SUPERSEDED - Photometric stereo dataset with annotated leaf masks |
|
| dc.type |
dataset |
|