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OliveTreeCrownsDb: A high-resolution UAV dataset for detection and segmentation in agricultural computer vision
Youness Hnida1, Mohamed Adnane Mahraz1, Ali Achebour2,3
1L3IA - Laboratory of Computer Science, Innovation, and Artificial Intelligence, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
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.

