Updated on Nov. 7th, 2017.
dataset for instance segmentation, tracking and reconstruction
We provide two datasets for 3D plant phenotyping such as leaf
segmentation, tracking and reconstruction. Multiview dataset contains
high resolution images of plants captured with three fixed cameras, and images for geometric and color
calibration. RGBD dataset contains both RGB and
depth images of plants captured with a RGB-D camera. For both datasets, we made plant images
by cropping an individual plant in original images, and label
manually drawing ground truth regions of leaves in plant images.
The detail of each dataset is
described in the readme file. Note that plants in each dataset are
- Multi-view dataset
- RGB-D dataset
- Annotation tool
Uchiyama, Shunsuke Sakurai, Masashi Mishima, Daisaku Arita, Takashi
Okayasu, Atsushi Shimada and Rin-ichiro Taniguchi, "An easy-to-setup 3D
phenotyping platform for KOMATSUNA dataset," ICCV Workshop
on Computer Vision Problems in Plant Phenotyping, pp.2038-2045, 2017. [link]
We thank Masashi Mishima and Shunsuke Sakurai for capturing and cropping part of the dataset.