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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 71849508.0 |
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num_examples: 48 |
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- name: val |
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num_bytes: 17901648.0 |
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num_examples: 12 |
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download_size: 89729067 |
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dataset_size: 89751156.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: val |
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path: data/val-* |
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--- |
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A Crop/Weed Field Image Dataset |
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============= |
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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)" |
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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. |
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Paper |
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----- |
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Paper available [here](http://rd.springer.com/chapter/10.1007%2F978-3-319-16220-1_8). |
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Bibtex: |
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``` |
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@inproceedings{haug15, |
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author={Haug, Sebastian and Ostermann, J{\"o}rn}, |
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title={A Crop/Weed Field Image Dataset for the Evaluation of Computer Vision Based Precision Agriculture Tasks}, |
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year={2015}, |
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booktitle={Computer Vision - ECCV 2014 Workshops}, |
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doi={10.1007/978-3-319-16220-1_8}, |
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url={http://dx.doi.org/10.1007/978-3-319-16220-1_8}, |
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pages={105--116}, |
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} |
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``` |
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Use |
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--- |
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All data is subject to copyright and may only be used for non-commercial research. In case of use please cite our publication. |
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Contact Sebastian Haug (sebastian.haug@de.bosch.com) for any questions. |
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