Data underlying the publication: Image-based size estimation of broccoli heads under varying degrees of occlusion
doi: 10.4121/13603787.v3
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
doi: 10.4121/13603787
Datacite citation style:
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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geolocation
Sexbierum, The Netherlands
lat (N): 5.4844° E
lon (E): 53.2173° N
time coverage
13-07-2020 and 19-08-2020
licence
![cc-by-nc-sa.png logo](/static/images/licenses/cc-by-nc-sa.png)
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
history
- 2021-06-21 first online
- 2022-04-29 published, posted
publisher
4TU.ResearchData
format
images/png
annotations/json
camera_intrinsics/json
ground_truth/csv
readme/pdf
associated peer-reviewed publication
Image-based size estimation of broccoli heads under varying degrees of occlusion
references
organizations
Wageningen Plant Research, Wageningen University and Research
DATA
files (8)
-
4,214 bytesMD5:
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README.txt -
4,594,828 bytesMD5:
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annotations.zip -
499 bytesMD5:
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camera_intrinsics.zip -
68,438 bytesMD5:
be17bf2ea270c004dafb5279fe28a10c
ground_truth_measurements.zip -
2,507,870,561 bytesMD5:
96339d29f8f6784245115f746efa2ccb
rgbd_images.zip -
17,914 bytesMD5:
ca8eb2d48899a601fdf5dc0f21093bb1
test.csv -
49,992 bytesMD5:
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train.csv -
15,849 bytesMD5:
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val.csv - download all files (zip)
2,512,622,295 bytes unzipped