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Training image dataset of strawberry flowers for new Nature Inspired Detector (NID)

<p>This dataset consists of images of 4 white-flowering strawberry cultivars:&nbsp;<em>F. x ananassa</em> <em>&lsquo;Seascape&rsquo;,&nbsp;&lsquo;Fort Laramie&rsquo;,</em> and <em>&#39;Hecker&#39;,</em> and<em> F. Vesca. </em>The image&#39;s size is 416x416 with the&nbsp;following augmentations:&nbsp;horizontal and vertical flip, rotate &plusmn;90-degrees, rotate &plusmn;15-degrees, sheer &plusmn;15-degrees vertical and horizontal, noise 5%, and blur 5px. Labels for both Faster R-CNN and Yolo V5 are included.&nbsp;&nbsp;</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