Soybean and Sugarcane for YOLO v1.1
Published: 12 March 2024| Version 2 | DOI: 10.17632/j2t2ngdbdw.2
Contributor:
Adilkhan SymagulovDescription
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