Datasets:
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README.md
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path: data/train-*
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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.*
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