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@@ -18,4 +18,29 @@ 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: mit
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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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+ # Apple Segmentation Minnesota
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+
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+ A dataset for semantic segmentation of Apple Segmentation Minnesota. The dataset contains 670 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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+ @misc{hani2019minneapple,
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+ title={MinneApple: A Benchmark Dataset for Apple Detection and Segmentation},
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+ author={Nicolai Häni and Pravakar Roy and Volkan Isler},
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+ year={2019},
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+ eprint={1909.06441},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV}
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+ }
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+ ```
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+
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+ https://rsn.umn.edu/projects/orchard-monitoring/minneapple