Synthetic Arabidopsis Dataset
CSIRO RDS Repository
View Archive InfoField | Value | |
Title |
Synthetic Arabidopsis Dataset
|
|
Creator |
Daniel Ward
|
|
Subject |
Control Systems, Robotics and Automation
Artificial Intelligence and Image Processing not elsewhere classified Computer Vision Agricultural Systems Analysis and Modelling |
|
Description |
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 segmentation pre-trained model based on the Mask-RCNN architecture.
|
|
Publisher |
CSIRO
|
|
Contributor |
Peyman Moghadam
|
|
Date |
2019-01-10
|
|
Type |
—
|
|
Format |
—
|
|
Identifier |
csiro:34323
|
|
Language |
—
|
|
Coverage |
—
|
|
Rights |
—
|
|