SB20

该数据集是2020年的甜菜数据集，包含了实例级别的手动标注数据，主要用于训练和推断，重点关注杂草种类。该数据集的训练集中包含1424个植物实例，图像分辨率为640×480。规模上，数据集分为71张训练图像，37张验证图像和35张评估图像，任务类型为实例分割。

This is a 2020 sugar beet dataset featuring manually annotated instance-level data, which is mainly used for model training and inference, with a core focus on weed species. The training split of this dataset contains 1,424 plant instances, and all images have a resolution of 640×480. The dataset is partitioned into 71 training images, 37 validation images, and 35 evaluation images in terms of scale, and the corresponding task is instance segmentation.