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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... morementation pre-trained model based on the Mask-RCNN architecture. less
Agricultural Systems Analysis and Modelling
Artificial Intelligence and Image Processing not elsewhere classified
Control Systems, Robotics and Automation
Deep Learning: Data61
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
Ward, Daniel; Moghadam, Peyman (2018): Synthetic Arabidopsis Dataset. v4. CSIRO. Data Collection.
All Rights (including copyright) CSIRO 2018.
The metadata and files (if any) are available to the public.
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