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Synthetic Arabidopsis Dataset

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About this Collection

Synthetic Arabidopsis Dataset


We introduce a synthetic dataset of 10,000 top down images of Arabidopsis plants. Leaf instance segmentation labels for each image are also presented. This dataset was designed to accompany the real dataset provided with the Leaf Segmentation Challenge of the Computer Vision Problems in Plant Phenotyping. Furthermore, we release a leaf instance seg... more


Agricultural Systems Analysis and Modelling Artificial Intelligence and Image Processing not elsewhere classified Computer Vision Control Systems, Robotics and Automation


https://doi.org/10.25919/5c36957c0af41


Peyman Moghadam
Peyman.Moghadam@data61.csiro.au

instance segmentation leaf annotation Arabidopsis synthetic Deep Learning: Data61 CSIRO Machine Learning Deep Learning Leaf segmentation CVPPP


:

D. Ward, P. Moghadam, and Nicolas Hudson, "Deep Leaf Segmentation Using Synthetic Data", British Machine Vision Conference (BMVC) Workshop on Computer Vision Problems in Plant Pheonotyping (CVPPP 2018)

Attribution
:

CSIRO Robotics and Autonomous Systems Group Databases


synthetic-arabidopsis-dataset.pdf


D. Ward, P. Moghadam, and Nicolas Hudson, "Deep Leaf Segmentation Using Synthetic Data", British Machine Vision Conference (BMVC) Workshop on Computer Vision Problems in Plant Pheonotyping (CVPPP 2018)


CSIRO Data Licence


CSIRO (Australia)


Ward, Daniel; Moghadam, Peyman (2018): Synthetic Arabidopsis Dataset. v4. CSIRO. Data Collection. https://doi.org/10.25919/5c36957c0af41


All Rights (including copyright) CSIRO 2018.


The metadata and files (if any) are available to the public.

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About this Project

Legacy





Daniel Ward


Peyman Moghadam


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