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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 71849508.0
num_examples: 48
- name: val
num_bytes: 17901648.0
num_examples: 12
download_size: 89729067
dataset_size: 89751156.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
---
A Crop/Weed Field Image Dataset
=============
The Crop/Weed Field Image Dataset (CWFID) accompanies the following publication: "Sebastian Haug, Jörn Ostermann: A Crop/Weed Field Image Dataset for the Evaluation of Computer Vision Based Precision Agriculture Tasks, [CVPPP 2014](http://www.plant-phenotyping.org/CVPPP2014) Workshop, [ECCV 2014](http://eccv2014.org)"
This dataset comprises field [images](images), vegetation segmentation [masks](masks) and crop/weed plant type [annotations](annotations). The paper provides details, e.g. on the field setting, acquisition conditions, image and ground truth data format.
Paper
-----
Paper available [here](http://rd.springer.com/chapter/10.1007%2F978-3-319-16220-1_8).
Bibtex:
```
@inproceedings{haug15,
author={Haug, Sebastian and Ostermann, J{\"o}rn},
title={A Crop/Weed Field Image Dataset for the Evaluation of Computer Vision Based Precision Agriculture Tasks},
year={2015},
booktitle={Computer Vision - ECCV 2014 Workshops},
doi={10.1007/978-3-319-16220-1_8},
url={http://dx.doi.org/10.1007/978-3-319-16220-1_8},
pages={105--116},
}
```
Use
---
All data is subject to copyright and may only be used for non-commercial research. In case of use please cite our publication.
Contact Sebastian Haug (sebastian.haug@de.bosch.com) for any questions.
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