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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.
Data in Brief
|April 16, 2025
Summary
OliveTreeCrownsDb is a new, high-resolution drone image dataset for olive tree crown detection and analysis. This public dataset supports precision agriculture research in tree segmentation and yield estimation.
Area of Science:
- Agricultural Science
- Computer Vision
- Remote Sensing
Background:
- Accurate olive tree crown analysis is crucial for precision agriculture.
- Existing datasets may lack the resolution or metadata for detailed studies.
Purpose of the Study:
- Introduce OliveTreeCrownsDb, a comprehensive dataset for olive tree crown analysis.
- Facilitate research in tree detection, segmentation, and geometric analysis.
Main Methods:
- Captured 46 high-resolution images using a DJI Phantom 4 RTK drone.
- Collected detailed metadata including GPS coordinates and capture parameters.
Main Results:
- Developed OliveTreeCrownsDb, a publicly accessible dataset of olive farm imagery.
- Dataset supports tasks like tree crown segmentation and geometric shape analysis.
Conclusions:
- OliveTreeCrownsDb advances precision agriculture by enabling innovative algorithms.
- The dataset enhances farm monitoring and crop management in olive cultivation.
