落叶松病虫害检测样本数据集（Forest Damages–Larch Casebearer)

落叶松的寄生虫Coleophora laricella，是一种主要寄生于落叶松的飞蛾，对瑞典韦斯特哥特兰的落叶松林造成了严重破坏。 瑞典森林局在微软人工智能地球计划的支持下，启动了一个项目，利用人工智能识别、清点、测绘和监测落叶松案例影响的森林地区。该项目的主要目的是帮助森林管理员快速识别威胁并作出反应，以防止进一步的森林破坏。 该数据集其中包含1543张无人机在瑞典韦斯特哥特兰五个受影响地区上空飞行时拍摄的图像。数据集分为10批，编号为1到10。 所有批次都包含树周围的边界框注释，分类为落叶松和其他。这些注释可用于训练用于树识别的AI模型。在1543张图片中，有101878棵带注释的树。 批次1-5还包含描述四类树木损伤的注释：健康（H）、轻度损伤（LD）、高度损伤（HD）和其他。这些注释可用于训练损伤分类模型。在840张图像中，有44522棵落叶松标注了损伤程度。The larch casebearer Coleophora laricella is a moth that primarily parasitizes larches, causing severe damage to larch forests in Västergötland, Sweden. The Swedish Forest Agency launched a project with the support of the Microsoft AI for Earth program, which uses artificial intelligence to identify, count, map, and monitor forest areas affected by larch infestations. The primary goal of this project is to help forest managers quickly identify threats and take action to prevent further forest damage. This dataset contains 1,543 aerial images captured by drones during flights over five affected areas in Västergötland, Sweden. The dataset is divided into 10 batches, numbered from 1 to 10. All batches include bounding box annotations around trees, categorized into larch and other classes. These annotations can be used to train AI models for tree recognition. A total of 101,878 annotated trees are present across the 1,543 images. Batches 1 through 5 also include annotations for four types of tree damage: healthy (H), light damage (LD), heavy damage (HD), and other. These annotations can be used to train damage classification models. Among 840 images, 44,522 larches are annotated with their damage severity levels.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于落叶松病虫害检测的样本数据集，包含1543张瑞典Westgothland地区的无人机图像，所有图像均带有树木边界框标注（分为落叶松和其他类别），共计101878棵标注树木，可用于训练树木识别AI模型。其中，部分批次（1-5批）还包含树木损害程度标注（健康、轻度损害、高度损害等），适用于损害分类模型训练，旨在辅助森林管理者快速监测和应对病虫害威胁。