ACRE 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 is composed of images captured by four agricultural robots in different moments and with different RGB cameras. Images consist of two kinds of crops (haricot and maize) and multiple species of weeds. You are provided with labeled images to train your models, and you are required to submit your hypothesis (segmented images) of a test dataset.

More information:

acre(a)metricsproject.eu