WeedsGalore is a novel agricultural dataset, focusing on crop and weed segmentation from UAV imagery in croplands. The high plant cover (in terms of both number and area) and the availability of five spectral bands are key distinguishing characters of this dataset. When used with state-of-the-art deep neural networks, it leads to models that can effectively segment weeds, even in unseen fields.