Grapevine Bunch Condition 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, position, and class. The classes present in this dataset indicate the condition of each grape bunch</p> <p>The images and their annotations are stored in an archive with the following structure:</p> <p><em>GrapevineBunchConditionDetection/</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>"IMG_20220721_101616.jpg</strong><em><strong>"</strong></em>, its annotation files are named <strong>"IMG_20220721_101616.txt"</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
- January 25, 2023
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.7573533
Scored with release 0.9.0
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.