---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Carpetweeds
          '1': Crabgrass
          '2': Eclipta
          '3': Goosegrass
          '4': Morningglory
          '5': Nutsedge
          '6': PalmerAmaranth
          '7': Prickly Sida
          '8': Purslane
          '9': Ragweed
          '10': Sicklepod
          '11': SpottedSpurge
          '12': SpurredAnoda
          '13': Swinecress
          '14': Waterhemp
  - name: date
    dtype: string
  - name: device
    dtype: string
  splits:
  - name: train
    num_bytes: 7072218033
    num_examples: 5187
  download_size: 10352091364
  dataset_size: 7072218033
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-nc-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Cottonweedid15 Classification

This dataset contains real-world RGB images of 15 common weed species found in cotton agricultural fields, captured under natural field conditions. The images depict weeds growing in typical cotton crop environments, providing a practical resource for developing and evaluating computer vision models for weed identification in precision agriculture applications. The dataset contains 5,187 images across 15 classes: Carpetweeds, Crabgrass, Eclipta, Goosegrass, Morningglory, Nutsedge, PalmerAmaranth, Prickly Sida, Purslane, Ragweed, Sicklepod, SpottedSpurge, SpurredAnoda, Swinecress, Waterhemp.  
Images per class:
- Carpetweeds: 763
- Crabgrass: 111
- Eclipta: 254
- Goosegrass: 216
- Morningglory: 1,115
- Nutsedge: 273
- PalmerAmaranth: 689
- Prickly Sida: 129
- Purslane: 450
- Ragweed: 129
- Sicklepod: 240
- SpottedSpurge: 234
- SpurredAnoda: 61
- Swinecress: 72
- Waterhemp: 451

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

## Citation

```bibtex
@article{chen2022performance,
  title={Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems},
  author={Chen, Dong and Lu, Yuzhen and Li, Zhaojian and Young, Sierra},
  journal={Computers and Electronics in Agriculture},
  volume={198},
  pages={107091},
  year={2022},
  publisher={Elsevier}
}
```

https://www.kaggle.com/datasets/yuzhenlu/cottonweedid15

*This dataset was reformatted from its original format to match HuggingFace standards.*