OliveTreeCrownsDb: A high-resolution UAV dataset for detection and segmentation in agricultural computer vision

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-03-22 DOI:10.1016/j.dib.2025.111515

Youness Hnida , Mohamed Adnane Mahraz , Ali Achebour , Ali Yahyaouy , Jamal Riffi , Hamid Tairi

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引用次数: 0

Abstract

This article introduces OliveTreeCrownsDb, a comprehensive dataset of high-resolution images captured by a DJI Phantom 4 RTK drone. The dataset includes 46 images covering an entire olive farm, focusing on the detection and analysis of olive tree crowns and supporting segmentation tasks. Each image is accompanied by detailed metadata, such as focal distance, capture altitude, GPS coordinates, and other essential parameters for accurate tree mapping and localization. OliveTreeCrownsDb is publicly accessible, promoting research in precision agriculture, including tree crown detection, segmentation, geometric shape analysis, automation, yield estimation, and computer vision applications. It facilitates the development of innovative algorithms to optimize resource allocation and improve crop management. By enabling studies on tree crown analysis and farm monitoring, OliveTreeCrownsDb advances agricultural technologies and enhances management practices in olive cultivation.

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OliveTreeCrownsDb：用于农业计算机视觉检测与分割的高分辨率无人机数据集

本文介绍了OliveTreeCrownsDb，这是一个由大疆Phantom 4 RTK无人机拍摄的高分辨率图像的综合数据集。该数据集包括覆盖整个橄榄农场的46幅图像，重点是橄榄树冠的检测和分析，并支持分割任务。每张图像都附有详细的元数据，如焦距、捕获高度、GPS坐标和其他用于精确树映射和定位的基本参数。OliveTreeCrownsDb是一个可公开访问的数据库，旨在促进精准农业的研究，包括树冠检测、分割、几何形状分析、自动化、产量估计和计算机视觉应用。它促进了创新算法的发展，以优化资源配置和改善作物管理。OliveTreeCrownsDb通过树冠分析和农场监测研究，促进了农业技术的发展，提高了橄榄种植的管理水平。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.