---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': atriplex
          '1': chenopodium
          '2': convolvulus
          '3': cyperus
          '4': datura
          '5': lolium
          '6': maize
          '7': portulaca
          '8': salsola
          '9': solanum
          '10': sorghum
          '11': tomato
  - name: crop
    dtype: string
  - name: growth_stage
    dtype: string
  splits:
  - name: train
    num_bytes: 95541077
    num_examples: 55828
  download_size: 642109490
  dataset_size: 95541077
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 10K<n<100K
---
# Maize Tomato Weed Classification

A dataset for classification of weeds and crops in maize and tomato fields. The dataset contains 55,828 images across 12 classes:  
Images per class:
- atriplex: 2,459
- chenopodium: 3,375
- convolvulus: 2,302
- cyperus: 3,215
- datura: 1,271
- lolium: 1,063
- maize: 25,273
- portulaca: 2,052
- salsola: 2,409
- solanum: 4,084
- sorghum: 1,703
- tomato: 6,622

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

## Citation

```bibtex
@article{mesias2025drone,
  title={Drone imagery dataset for early-season weed classification in maize and tomato crops},
  author={Mes{\'\i}as-Ruiz, Gustavo A and Pe{\~n}a, Jos{\'e} M and de Castro, Ana I and Dorado, Jos{\'e}},
  journal={Data in Brief},
  volume={58},
  pages={111203},
  year={2025},
  publisher={Elsevier}
}
```

Mesías-Ruiz, G. A., Peña Barragán, J. M., Castro, A. I. D., & Dorado, J. (2024). DIWEED: Drone Imagery dataset for early-season WEED classification [Data set]. DIGITAL.CSIC. http://doi.org/10.20350/DIGITALCSIC/16559

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