GrowliFlower: An image time-series dataset for GROWth analysis of cauLIFLOWER

This dataset contains georeferenced, image-based UAV time-series of two monitored cauliflower fields acquired in two years, 2020 and 2021. The proposed dataset contains RGB and multispectral orthophotos with coordinates of approximately 14000 individual cauliflower plants. The coordinates enable extraction of complete and incomplete time-series of image patches showing individual plants. The dataset contains the collected phenotypic traits of 740 plants, including the developmental stage and plant and cauliflower size. The harvestable product is completely covered by leaves, thus, plant IDs and coordinates are provided to extract image pairs of plants pre- and post-defoliation. In addition, to facilitate classification, detection, segmentation, instance segmentation, and other similar computer vision tasks, the proposed dataset contains pixel-accurate leaf and plant instance segmentations, as well as stem annotations.