Datasets:
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README.md
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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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# Cabbage Instance Segmentation
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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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This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
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## Citation
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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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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
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