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.
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.
We also release software to help with the analysis of these images
@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}
}