Description
This dataset consists of per-pixel annotated synthetic (10500) and empirical images (50) of Capsicum annuum, also known as sweet or bell pepper, situated in a commercial greenhouse. Furthermore, the source models to generate the synthetic images are included. The aim of the datasets are to facilitate bootstrapping agricultural semantic segmentation computer vision models with synthetic data that fine-tune and test on empirical images.
| Date made available | 6 Dec 2016 |
|---|---|
| Publisher | Wageningen University & Research |
Research output
- 2 Article
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Synthetic bootstrapping of convolutional neural networks for semantic plant part segmentation
Barth, R., IJsselmuiden, J., Hemming, J. & Van Henten, E. J., Jun 2019, In: Computers and Electronics in Agriculture. 161, p. 291-304Research output: Contribution to journal › Article › Academic › peer-review
Open Access67 Link opens in a new tab Citations (Scopus) -
Data synthesis methods for semantic segmentation in agriculture: A Capsicum annuum dataset
Barth, R., IJsselmuiden, J., Hemming, J. & van Henten, E. J., 1 Jan 2018, In: Computers and Electronics in Agriculture. 144, p. 284-296Research output: Contribution to journal › Article › Academic › peer-review
Open Access153 Link opens in a new tab Citations (Scopus)
Projects
- 1 Finished
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EU-2015-03 SWEEPER (BO-52-001-002, BO-25.06-002-003)
Balendonck, J. (Project Leader)
1/01/15 → 31/12/18
Project: LVVN project
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