Datasets:
File size: 2,463 Bytes
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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.* |