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.

橄榄树冠数据集收录了高分辨率的图像，并划分为多种网格配置：1×1（原始）、3×3、6×6和9×9。每个图像块均经过详尽的标注，以确保精确的目标检测，对橄榄树冠提供精确且详尽的标签。此外，数据集还包含点云表示、数字高程模型（DEM）以及键孔标记语言（KML）格式的空间数据。这些组成部分共同捕捉了研究区域的三维几何形状、地形特征和地理空间特性。点云数据中的XYZ坐标定义了每个点的精确空间位置，有助于构建全面的时空表示。通过整合三维数据和地理空间属性，该数据集为高级空间建模和分析提供了宝贵资源。它为多尺度分析、三维制图和精准农业等应用奠定了坚实的基础，促进了遥感技术和以AI驱动农业解决方案的创新。