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Aberystwyth Leaf Evaluation
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update dataset overview and ba...
2d36c27·
Feb 10, 2022 7:30 AM

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}
}
🎉Many thanks to Graviti Open Datasets for contributing the dataset
Basic Information
Application ScenariosNot Available
AnnotationsNot Available
TasksNot Available
LicenseCC BY 4.0
Updated on2022-02-10 07:30:21
Metadata
Data TypeNot Available
Data Volume0
Annotation Amount0
File Size0.00B
Copyright Owner
Jonathan Bell
Annotator
Unknown