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Grapevine Bunch Condition Detection Dataset

Name: Grapevine Bunch Condition Detection Dataset
Creator: Pinheiro, Isabel

Research datakeyboard_double_arrow_right Dataset 26 Jan 2023Publisher:Zenodo

Authors: Pinheiro, Isabel;

doi: 10.5281/zenodo.7717014 , 10.5281/zenodo.7573798 , 10.5281/zenodo.7665510 , 10.5281/zenodo.7573533

Grapevine Bunch Condition Detection Dataset

- Summary
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  (1)
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Abstract

Images of grapevine bunches with 720x540 pixels resolution and respective annotation under the YOLO format. Each annotation indicates a bounding box around each grape bunch representing its area, position, and class. The classes present in this dataset indicate the condition of each grape bunch The images and their annotations are stored in an archive with the following structure: GrapevineBunchConditionDetection/ label_map.pbtx test/ images/ labels/ train/ images/ labels/ val/ images/ labels/ Each annotation file links to its image by the file name, so if an image is named "IMG_20220721_101616.jpg", its annotation files are named "IMG_20220721_101616.txt" in YOLO format. The file label_map.pbtx defines the class id and the name of each class.

Related Organizations

Institute for Systems and Computer Engineering of Porto
Portugal

1 Research products, page 1 of 1

Grapevine Bunch Detection
2023HasVersion

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