High-Resolution Aerial Durian Detection Using YOLOv8 and YOLO11 in Complex Orchard Environments

Anantsuwanchai, Taptat;Kongpop Raksatham;Thongnim, Pattharaporn;Khailoukum, Kunanon

Description

Final dataset and final model weights for "High-Resolution Aerial Durian Detection Using YOLOv8 and YOLO11 in Complex Orchard Environments." This project features a custom high-resolution dataset of 2,359 annotated images derived from 4K drone footage and a compact handheld camera in Chanthaburi, Thailand.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

58%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

OSF

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Media Technology

Field

Engineering

Domain

Physical Sciences

Confidence Score

47%

Source

Scholar Data Model

Keywords

Physical Sciences and MathematicsAgricultureLife SciencesComputer SciencesArtificial Intelligence and RoboticsComputer VisionDeep LearningDrone ImageryDurian DetectionFruit CountingObject DetectionSmart FarmingYOLO11YOLOv8

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00