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.
