We introduce a labeling tool and dataset aimed to facilitate computer vision research in agriculture. The annotation tool introduces novel methods for labeling with a variety of manual, semi-automatic, and fully-automatic tools. The dataset includes original images collected from commercial greenhouses, images from PlantVillage, and images from Google Images. Images were annotated with segmentations for foreground leaf, fruit, and stem instances, and diseased leaf area. Labels were in an extended COCO format. In total the dataset contained 10k tomatoes, 7k leaves, 2k stems, and 2k diseased leaf annotations.

中文翻译：

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用于深度学习的图像标记工具和农业数据集

我们引入了一个标签工具和数据集，旨在促进农业计算机视觉研究。注释工具引入了使用各种手动、半自动和全自动工具进行标记的新方法。该数据集包括从商业温室收集的原始图像、来自 PlantVillage 的图像和来自 Google Images 的图像。图像用前景叶、果实和茎实例以及病叶区域的分割进行注释。标签采用扩展的 COCO 格式。数据集总共包含 10k 个西红柿、7k 个叶子、2k 个茎和 2k 个病叶注释。