| 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 |
2019-03-25T15:23:27Z |
|
| dc.date |
2019-03-25T15:23:27Z |
|
| dc.identifier |
Scorza, Livia; Bernotas, Gytis; McCormick, Alistair. (2019). Photometric stereo training data set with annotated leaf masks, [dataset]. University of Edinburgh. School of Biological Sciences. Institute of Molecular Plant Sciences. https://doi.org/10.7488/ds/2514. |
|
| dc.identifier |
https://hdl.handle.net/10283/3280 |
|
| dc.identifier |
https://doi.org/10.7488/ds/2514 |
|
| dc.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 work done in the BBSRC Tools and Resources Development project BB/N02334X/1. |
|
| dc.format |
application/pdf |
|
| dc.format |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
|
| dc.format |
text/csv |
|
| dc.format |
application/zip |
|
| dc.language |
eng |
|
| dc.publisher |
University of Edinburgh. School of Biological Sciences. Institute of Molecular Plant Sciences |
|
| dc.relation |
McCormick et al. (In submission) |
|
| dc.relation |
https://doi.org/10.7488/ds/2455 |
|
| dc.rights |
Creative Commons Attribution 4.0 International Public License |
|
| dc.subject |
plant phenotyping |
|
| dc.subject |
photometric stereo |
|
| dc.subject |
3D imaging |
|
| dc.subject |
Arabidopsis thaliana |
|
| dc.subject |
Biological Sciences |
|
| dc.title |
Photometric stereo training data set with annotated leaf masks |
|
| dc.title |
Photometric stereo dataset with annotated leaf masks |
|
| dc.type |
dataset |
|