Overview

We are releasing the Aberystwyth Leaf Evaluation dataset acquired to support the work of the EPSRC funded project Dynamic Modelling of Plant Growth with Computer Vision (grant code EP/LO17253/1) in the hope that its availability will help further advance the state of the art in the use of image analysis for plant sciences. It is a visible light, top down, timelapse image dataset of Arabidopsis thaliana (Arabidopsis). It incorporates the original images, some with leaf-level ground truth annotations, harvested plant ground truth data and scanned images together with supporting software. 4 sets of 20 Arabidopsis Thaliana plants have been grown in traysImages of each tray are taken in a 15 minute timelapse sequence using a robotic greenhouse systemPeriodically, plants from each tray are sacrificed to record destructive measurementsA subset of these images have been hand-annotated to provide leaf-based image ground truth.In total, there are 56 annotated ground truth images containing 916 hand-marked up individual arabidopsis plants.

Data Format

• 4 sets of 20 Arabidopsis Thaliana plants have been grown in trays

• Images of each tray are taken in a 15 minute timelapse sequence using a robotic greenhouse system

• Periodically, plants from each tray are sacrificed to record destructive measurements

• A subset of these images have been hand-annotated to provide leaf-based image ground truth.

  • In total, there are 56 annotated ground truth images containing 916 hand-marked up individual arabidopsis plants

• We also release software to help with the analysis of these images

Citation

@dataset{bell_jonathan_2016_168158,
  author       = {Bell, Jonathan and
                  Dee, Hannah M.},
  title        = {Aberystwyth Leaf Evaluation Dataset},
  month        = nov,
  year         = 2016,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.168158},
  url          = {https://doi.org/10.5281/zenodo.168158}
}