2020 ACRE dry-run Cascade Campaign

In the 2020 ACRE Cascade Campaign, participants were asked to segment RGB images to distinguish between crop, weeds, and background.

Data has been collected in real crop fields during an agricultural robotics competition. The dataset was composed of images captured by four agricultural robots in different moments and with different RGB cameras. Images consisted of two kinds of crops (haricot and maize) and multiple species of weeds. Participants were provided with labeled images to train their models, and they were asked to submit their hypothesis (segmented images) of a test dataset.”

The competition page can be found at https://competitions.codalab.org/competitions/27176

More information:

acre(a)metricsproject.eu