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Project-AgML/rice_field_weed_classification

Rice Field Weed Classification A dataset for weed classification in rice fields. The dataset contains 3,632 images across 11 classes: Images per class: Alternanthera philoxeroide: 106 Centella asiatica: 404 Commelina benghalensis: 316 Cyperus ochraceus: 190 Fimbristylis littoralis: 168 Ipomoea aquatic: 897 Marsilea minuta: 346 Panicum repens: 294 Paspalum scrobiculatum: 345 Pteris vittata: 221 Synedrella nodiflora: 345 This dataset is indexed on… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_field_weed_classification.

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Rice Field Weed Classification

A dataset for weed classification in rice fields. The dataset contains 3,632 images across 11 classes: Images per class:

—Alternanthera philoxeroide: 106
—Centella asiatica: 404
—Commelina benghalensis: 316
—Cyperus ochraceus: 190
—Fimbristylis littoralis: 168
—Ipomoea aquatic: 897
—Marsilea minuta: 346
—Panicum repens: 294
—Paspalum scrobiculatum: 345
—Pteris vittata: 221
—Synedrella nodiflora: 345

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

bibtex

@article{ali2024comprehensive,
  title={A comprehensive dataset of rice field weed detection from Bangladesh},
  author={Ali, Md Sawkat and Rashid, Mohammad Rifat Ahmmad and Hossain, Tasnim and Kabir, Md Ahsan and Kamrul, Md and Aumy, Sayam Hossain Bhuiyan and Mridha, Mehedi Hasan and Sajeeb, Imam Hossain and Islam, Mohammad Manzurul and Jabid, Taskeed},
  journal={Data in Brief},
  volume={57},
  pages={110981},
  year={2024},
  publisher={Elsevier}
}

Ali, Sawkat; Ahmmad Rashid, Mohammad Rifat ; Hossain Orpa, Tasnim; Kabir, Md Ahsan; Kamrul, Md; Bhuiyan Aumy , Sayam Hossain ; Mridha, Mehedi Hasan ; Sajeeb, Imam Hossain ; Manzurul Islam, Mohammad ; Jabid, Taskeed (2024), “A comprehensive dataset of rice field weed detection from Bangladesh”, Mendeley Data, V4, doi: 10.17632/mt72bmxz73.4