High-resolution grape cluster images and color-based segmentations for population GE1025 in 2017 and 2018

  • Anna Underhill (Creator)



This is a collection of images collected in 2017 and 2018 from the UMN grape research population GE1025 (parentage described in Teh et al., 2017) that was used for two image analysis-based phenotyping experiments: one involving cluster compactness, and one involving skin color. Contained in each year are RAW images, color-corrected images, and segmented images for berry, stem, and background. Details about methods used to capture and segment images are available at https://github.com/underhillanna/GrapeImageAnalysis, or in Underhill, 2019.

Two years (2017, 2018) of images are included. RAW (.NEFF) files were those originally captured; .TIFF files are those which were color-corrected and used for segmentation; .PNG files are output segmented images. More information on the image capture process can be found at https://github.com/underhillanna/GrapeImageAnalysis.

Funding information
Sponsorship: Specialty Crop Research Initiative Competitive Grant, Award No. 2017- 51181-26829; Minnesota Agricultural Experiment Station
Date made available2019
PublisherData Repository for the University of Minnesota
Date of data productionSep 21 2017 - Aug 30 2018

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