OliveTreeCrownsDb: A High-Resolution Dataset for Agricultural Computer Vision

The OliveTreeCrown dataset contains high-resolution images divided into various grid configurations: 1×1 (original), 3×3, 6×6, and 9×9. Each segment is thoroughly annotated to ensure accurate object detection, providing precise and detailed labeling of olive tree crowns. In addition to the annotated image data, the dataset contains a point cloud representation, a Digital Elevation Model (DEM), and spatial data in Keyhole Markup Language (KML) format. These components collectively capture the three-dimensional geometry, topographic features, and geospatial characteristics of the study area. The XYZ coordinates in the point cloud data define the precise spatial position of each point, contributing to a comprehensive spatial representation. By integrating 3D data and geospatial attributes, this dataset offers a valuable resource for advanced spatial modeling and analysis. It serves as a solid foundation for applications such as multi-scale analysis, 3D mapping, and precision agriculture, fostering innovation in remote sensing and AI-driven agricultural solutions.

OliveTreeCrown数据集包含高分辨率图像，这些图像被划分为多种网格配置：1×1（原始未分割版本）、3×3、6×6及9×9。每个分割区块均经过详尽标注，以保障目标检测的准确性，并对橄榄树冠进行精准细致的标记。除带标注的图像数据外，该数据集还包含点云表征、数字高程模型（Digital Elevation Model, DEM）以及Keyhole标记语言（Keyhole Markup Language, KML）格式的空间数据。这些组件共同完整呈现了研究区域的三维几何形态、地形特征与地理空间特性。点云数据中的XYZ坐标定义了每个点的精确空间位置，助力构建全面的空间表征体系。通过整合三维数据与地理空间属性，该数据集为高级空间建模与分析提供了宝贵的研究资源。其可为多尺度分析、三维制图以及精准农业等应用提供坚实基础，推动遥感与人工智能驱动农业解决方案领域的创新发展。