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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- object-detection
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size_categories:
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- 1K<n<10K
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---
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# ImageWeeds Weed Detection
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A dataset for detection of weeds. The dataset contains 3,208 images with 6,932 bounding box annotations across 5 categories.
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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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<!-- TODO: add BibTeX citation -->
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```
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Rai, Nitin; Villamil Mahecha, Maria; Christensen, Annika; Quanbeck, Jamison; Howatt, Kirk; Ostlie, Michael; Zhang, Yu; Sun, Xin (2023), “ImageWeeds: An Image dataset consisting of weeds in multiple formats to advance computer vision algorithms for real-time weed identification and spot spraying application”, Mendeley Data, V2, doi: 10.17632/8kjcztbjz2.2
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*This dataset was reformatted from its original format to match HuggingFace standards.*
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