Soybean and Sugarcane for YOLO v1.1

Published: 12 March 2024| Version 2 | DOI: 10.17632/j2t2ngdbdw.2
Contributor:
Adilkhan Symagulov

Description

Annotated photos of soybean and sugarcane fields for using in the task of object recognition with YOLO neural network (with various classes of weeds). Contains photos and related txt files with annotations.

Files

Steps to reproduce

Drone DJI Mavic Mini where used for collecting of photos and app.cvat.ai where used to manually annotate all weed and crops on the photos.

Institutions

Satbayev University Institute of Cybernetics and Information Technology

Categories

Soybean, Sugarcane, Precision Agriculture, YOLOv5, YOLOv7

Funding

Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan

AP14869972

Licence