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  1. README.md +29 -0
  2. annotations/001_annotation.png +3 -0
  3. annotations/001_annotation.yaml +94 -0
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README.md ADDED
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+ A Crop/Weed Field Image Dataset
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+ =============
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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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+
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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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+
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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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+
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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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+
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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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+
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+ Contact Sebastian Haug (sebastian.haug@de.bosch.com) for any questions.
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Git LFS Details

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