Data collection is expensive and this dataset is for you to lower your start cost for innovative projects in weed control. The dataset has a permissive license to enable rapid progress in research as well commercial projects.
While this is the official webpage of the OpenWeeds dataset it contains mainly overview information as well as being the repository for the data and annotations. For a more detailed description we refer to the base publication for the OpenWeeds dataset.
In addition to the annotated data and raw data we supply all the test code we have developed during the project. This includes code to communicate with CVAT, train and evalute models as well as for generating result graphs. The code is published on GitHub.
Approximately 250 000 annotations, details in the publications.
Some data was annotated with sparse segmentation masks. A challenge which might require e.g. non-standard loss layers. This data was annotated by the WASP WARA Media & Language.