Data underlying the publication: Image-based size estimation of broccoli heads under varying degrees of occlusion
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
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| Main Authors: | , , , |
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| Format: | Dataset biblioteca |
| Published: |
Wageningen University & Research
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| Subjects: | Intel Realsense, RGB-D, agriculture, annotations, broccoli, computer vision algorithms, deep learning dataset, diameter growth, image data, instance segmentation, machine learning methods enable predictive modeling, occlusion rate, open source software packages, size estimation, |
| Online Access: | https://research.wur.nl/en/datasets/data-underlying-the-publication-image-based-size-estimation-of-br |
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| Summary: | 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 |
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