Data underlying the publication: Image-based size estimation of broccoli heads under varying degrees of occlusion

Dataset

Description

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
Date made available21 Jun 2021
PublisherWageningen University & Research
Temporal coverage13 Jul 2020 - 19 Aug 2020
Date of data production13 Jul 2020 - 19 Aug 2020
Geographical coverageSexbierum, The Netherlands
Geospatial point53.2173,5.4844Show on map

Keywords

  • occlusion rate
  • RGB-D
  • image data
  • broccoli
  • size estimation
  • agriculture
  • deep learning dataset
  • Intel Realsense
  • annotations
  • instance segmentation
  • open source software packages
  • diameter growth
  • computer vision algorithms
  • machine learning methods enable predictive modeling

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