TY - DATA
T1 - Data underlying the publication: Image-based size estimation of broccoli heads under varying degrees of occlusion
PY - 2022/04/29
AU - P.M. (Pieter) Blok
AU - Eldert van Henten
AU - Frits van Evert
AU - Gert Kootstra
UR - https://data.4tu.nl/articles/dataset/Data_underlying_the_publication_Image-based_size_estimation_of_broccoli_heads_under_varying_degrees_of_occlusion/13603787/3
DO - 10.4121/13603787.v3
KW - occlusion rate
KW - RGB-D
KW - image data
KW - broccoli
KW - size estimation
KW - Agriculture
KW - deep learning dataset
KW - Intel Realsense
KW - annotations
KW - instance segmentation
N2 - <p>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. <br>
<br>
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. <br>
<br>
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<br></p><p><br></p><p></p><p><br></p><p></p>
ER -