Scope of the Workshop


The overriding goal is to identify key but unsolved problems, expose the current state-of-the-art, and broaden the field and the community. Since plant phenotyping is an important aspect of agriculture and will support the sustainability of our planet and its inhabitants, having new vision scientists enter this field is more crucial than ever.

We welcome submissions that propose interesting computer vision solutions, but also submissions that introduce challenging computer vision problems in plant phenotyping accompanied with benchmark datasets and suitable performance evaluation methods.

Specific topics of interest include, but are not limited to, the following:

  • image data sets defining plant phenotyping challenges, complete with annotations if appropriate, accompanied with benchmark methods if possible, and suitable evaluation methods
  • advances in segmentation, tracking, detection and identification methods that address unsolved plant phenotyping scenarios
  • open source implementation, comparison and discussion of existing methods

Associated with the workshop is the "Plant Leaf Segmentation Challenge": .


We are looking forward to practical and inspiring leaf segmentation solutions for images stemming from plant phenotyping applications!

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Some example images from data set