CosegPP: Cosegmentation for Plant Phenotyping is a dataset for semantic segmentation and instance segmentation tasks. It is used in the agricultural industry, and in the agricultural research.

The dataset consists of 496 images with 496 labeled objects belonging to 4 different classes including sunflower-C-1, sunflower-D-1, buckwheat-C-1, and other: buckwheat-D-1.

Images in the CosegPP dataset have pixel-level instance segmentation annotations. Due to the nature of the instance segmentation task, it can be automatically transformed into an object detection (bounding boxes for every object) task. All images are labeled (i.e. with annotations). There are 4 splits in the dataset: sunflower-C-1 (164 images), sunflower-D-1 (164 images), buckwheat-C-1 (84 images), and buckwheat-D-1 (84 images). For the sake of improving the experience when working with this dataset, we have decided to group the images by date. This way, you can work simultaneously with every image of a plant in every modality and angle. This grouping is only visible in advanced labeling toolbox… The dataset was released in 2021 by the University of Nebraska-Lincoln.

Cosegmentation for Plant Phenotyping is under CC BY 4.0 license.

Source

If you make use of the CosegPP data, please cite the following reference:

@dataset{quinones_rubi_2021_5117176,
  author       = {Quiñones, Rubi and
                  Munoz Arriola, Francisco and
                  Das Choudhury, Sruti and
                  Samal. Ashok},
  title        = {{Cosegmentation for Plant Phenotyping (CosegPP) 
                   Data Repository Collected Via a High-Throughput
                   Imaging System}},
  month        = aug,
  year         = 2021,
  note         = {{This material is based upon work supported by the 
                   National Science Foundation under Grant No.
                   DGE-1735362. Any opinions, findings, and
                   conclusions or recommendations expressed in this
                   material are those of the author(s) and do not
                   necessarily reflect the views of the National
                   Science Foundation. Also, the authors acknowledge
                   the support provided by the Agriculture and Food
                   Research Initiative Grant number NEB-21-176 and
                   NEB-21-166 from the USDA National Institute of
                   Food and Agriculture, Plant Health and Production
                   and Plant Products: Plant Breeding for
                   Agricultural Production.}},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.5117176},
  url          = {https://doi.org/10.5281/zenodo.5117176}
}

Source

Dataset CosegPP can be downloaded in Supervisely format:

As an alternative, it can be downloaded with dataset-tools package:

pip install --upgrade dataset-tools

… using following python code:

import dataset_tools as dtools

dtools.download(dataset='CosegPP', dst_dir='~/dataset-ninja/')

Make sure not to overlook the python code example available on the Supervisely Developer Portal. It will give you a clear idea of how to effortlessly work with the downloaded dataset.

The data in original format can be downloaded here:

• Images
• Annotations