Apple tree images for trunk detection experiments (YOLOv8 format)

Apple tree images for trunk detection experiments (YOLOv8 format)

This dataset is designed for tree trunk detection in orchard environments using the YOLOv8 format. The dataset focuses apple trees, providing a comprehensive collection of images captured in orchards. The images cover various lighting conditions, weather scenarios, and seasonal changes to ensure rob...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Cejnek, Matouš, Vrba, Jan, Jura, Jakub, Trnka, Pavel
Format: Dataset
Sprache:eng
Schlagworte:
Agricultural engineering
Computer vision
Deep learning
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Beschreibung
Zusammenfassung:This dataset is designed for tree trunk detection in orchard environments using the YOLOv8 format. The dataset focuses apple trees, providing a comprehensive collection of images captured in orchards. The images cover various lighting conditions, weather scenarios, and seasonal changes to ensure robust model performance.The dataset consists of 1580 training images and 176 validation images.
DOI:10.6084/m9.figshare.24849711