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@@ -35,3 +35,28 @@ configs:
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  - split: train
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  path: data/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: train
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  path: data/train-*
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  ---
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+ # Weedy Rice Segmentation
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+ A dataset for semantic segmentation of weedy rice. The dataset contains 734 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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+ The original train/test/val split has been preserved in the `split` column.
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+ ## Citation
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+ ```bibtex
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+ @article{nguyen2025dataset,
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+ title={A dataset of aligned RGB and multispectral UAV imagery for semantic segmentation of weedy rice},
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+ author={Nguyen, Van-Hoa and Le, Cong-Doan and Truong, Minh-Tuyen and Bui, Mai-Phung Thi and Le, Thanh-Phong},
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+ journal={Data in Brief},
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+ volume={63},
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+ pages={112237},
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+ year={2025},
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+ publisher={Elsevier}
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+ }
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+ ```
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+ Nguyen, Van Hoa; Le, Cong-Doan; Truong, Minh-Tuyen; Bui, Mai-Phung; Le, Thanh-Phong (2025), “A Dataset of Aligned RGB and Multispectral UAV Imagery for Semantic Segmentation of Weedy Rice”, Mendeley Data, V1, doi: 10.17632/vt4s83pxx6.1
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+ *This dataset was reformatted from its original format to match HuggingFace standards.*