The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/13603787

P.M. (Pieter) Blok; van Henten, Eldert; Frits van Evert; Gert Kootstra (2022): Data underlying the publication: Image-based size estimation of broccoli heads under varying degrees of occlusion. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/13603787.v3

Dataset

x choose version: version 2 - 2021-06-22 version 1 - 2021-06-21

• Artificial Intelligence and Image Processing
• Agriculture, Land and Farm Management

Agriculture, annotations, broccoli, computer vision algorithms, deep learning dataset, diameter growth, image data, instance segmentation, Intel Realsense, Machine Learning Methods Enable Predictive Modelling, occlusion rate, Open source software packages, RGB-D, size estimation

13-07-2020 and 19-08-2020

CC BY-NC-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by P.M. (Pieter) Blok , Eldert van Henten , Frits van Evert , Gert Kootstra

This publicly available dataset contains 1613 RGB-D images of field-grown broccoli plants. The dataset also includes the polygon and circle annotations of the broccoli heads.

The broccoli heads in the images were subject to various degrees of natural and man-made leaf occlusion. The images were acquired in July and August 2020 on a broccoli field in Sexbierum (The Netherlands). The broccoli cultivar was Ironman.

The dataset belongs to the paper “Image-based size estimation of broccoli heads under varying degrees of occlusion”. This paper has been published at Biosystems Engineering journal: https://doi.org/10.1016/j.biosystemseng.2021.06.001

• 2021-06-21 first online

• 2022-04-29 published, posted

4TU.ResearchData

images/png annotations/json camera_intrinsics/json ground_truth/csv readme/pdf

Image-based size estimation of broccoli heads under varying degrees of occlusion

• https://git.wur.nl/blok012/sizecnn

Wageningen Plant Research, Wageningen University and Research