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Grapevine Bunch Detection Dataset

<p>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 and position.</p> <p>The images and their annotations are stored in an archive with the following structure:</p> <p><em>GrapevineBunchDetection/</em></p> <ol> <li>label_map.pbtx</li> <li><em>test/</em> <ul> <li><em>images/</em></li> <li><em>labels/</em></li> </ul> </li> <li><em>train/</em> <ul> <li><em>images/</em></li> <li><em>labels/</em></li> </ul> </li> <li><em>val/</em> <ul> <li><em>images/</em></li> <li><em>labels/</em></li> </ul> </li> </ol> <p><br> Each annotation file links to its image by the file name, so if an image is named <strong>&quot;IMG_20220721_101616.jpg</strong><em><strong>&quot;</strong></em>, its annotation files are named <strong>&quot;IMG_20220721_101616.txt&quot;</strong> in YOLO format. The file label_map.pbtx defines the class id and the name of each class.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
February 21, 2023
License
cc-by-4.0
DOI
10.5281/zenodo.7665519

Scored with release 0.9.0

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