Datasets:
File size: 2,186 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Alternanthera philoxeroide
'1': Centella asiatica
'2': Commelina benghalensis
'3': Cyperus ochraceus
'4': Fimbristylis littoralis
'5': Ipomoea aquatic
'6': Marsilea minuta
'7': Panicum repens
'8': Paspalum scrobiculatum
'9': Pteris vittata
'10': Synedrella nodiflora
splits:
- name: train
num_bytes: 246997687
num_examples: 3632
download_size: 227724704
dataset_size: 246997687
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# 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 |