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@@ -16,4 +16,31 @@ configs:
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  data_files:
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  - split: train
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  path: data/train-*
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  data_files:
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  - split: train
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  path: data/train-*
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-segmentation
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+ size_categories:
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+ - n<1K
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  ---
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+
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+ # Cabbage Instance Segmentation
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+
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+ A dataset for semantic segmentation of Cabbage Instance Segmentation. The dataset contains 458 images with pixel-level mask annotations.
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+
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+ This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{yokoyama2024instance,
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+ title={An instance segmentation dataset of cabbages over the whole growing season for UAV imagery},
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+ author={Yokoyama, Yui and Matsui, Tsutomu and Tanaka, Takashi ST},
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+ journal={Data in Brief},
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+ volume={55},
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+ pages={110699},
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+ year={2024},
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+ publisher={Elsevier}
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+ }
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+ ```
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+
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+ Yokoyama, Yui; Matsui, Tsutomu; Tanaka, S.T. Takashi (2024), “An annotated image dataset of cabbages for instance segmentation”, Mendeley Data, V2, doi: 10.17632/5cp2dyjczk.2