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...
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| creator | Cejnek, Matouš Vrba, Jan Jura, Jakub Trnka, Pavel |
| description | 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_str_mv | 10.6084/m9.figshare.24849711 |
| format | Dataset |
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| identifier | DOI: 10.6084/m9.figshare.24849711 |
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| language | eng |
| recordid | cdi_datacite_primary_10_6084_m9_figshare_24849711 |
| source | DataCite |
| subjects | Agricultural engineering Computer vision Deep learning |
| title | Apple tree images for trunk detection experiments (YOLOv8 format) |
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