UNL Plant Phenotyping Datasets

The computational analysis of phenotypes from images of plants remains an open challenge in computer vision. In order to promote the development of new approaches in this developing field, the Plant Vision Initiative is committed to release a number of different plant imaging datasets, spanning different species, different imaging modalities, and developed with the initial goal of addressing different research questions.

Released Datasets:

UNL Plant Phenotyping Dataset A: Panicoid Phenomap-1

This dataset consists of imaging data from 31 diverse maize inbreds as well as a number of representative genotypes from other panicoid grain crops. Plants were imaged once per day using the UNL Lemnatec Scanalyzer 3D. The dataset contains high resolution RGB photos taken from the top, front, and side (90 degree rotation) for 176 total plants on from 2 days after planting to 28 days after planting.

The format of the image filename in Dataset A is 'PlantID-GenotypeID.png'.

This dataset is available for download from this link.

If you use this dataset, please cite the following publication: S. D. Choudhury, V. Stoerger, A. Samal, J. C. Schnable, Z. Liang, J-G. Yu, Automated Vegetative Stage Phenotyping Analysis of Maize Plants using Visible Light Images, KDD workshop on Data Science for Food, Energy and Water (KDD -DSFEW), San Francisco, California, USA, 2016.
UNL Plant Phenotyping Dataset B: Component Plant Phenotyping Dataset (UNL-CPPD)

This dataset consists of images of 13 maize plants for the two views: side view 0 degree and side view 90 degree. Plants were imaged once per day using the visible light camera of the UNL Lemnatec Scanalyzer 3D high throughput phenotyping facility.

The dataset contains original images, groundtruth and annotated images to facilitate research advancements in the filed of componenet phenotyping analysis. This dataset is available for download from this link.

UNL 3D Plant Phenotyping Dataset C: (UNL-3DPPD)

This dataset consists of images of 20 maize plants & 20 sorghum plants for the 10 views: side views 0 degree, 36 degree, ..., and 244 degree. Plants were imaged once per day using the visible light camera of the UNL Lemnatec Scanalyzer 3D high throughput phenotyping facility.

The dataset contains original images, groundtruth and annotated images to facilitate research advancements in the filed of componenet phenotyping analysis. This dataset is available for download from this link.