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VegeNet - Image datasets and Codes

<p>Compilation of python codes for data preprocessing and VegeNet building, as well as&nbsp;image datasets (zip files).</p> <p>Image datasets:</p> <ol> <li><strong>vege_original</strong> : Images of vegetables captured manually in data acquisition stage</li> <li><strong>vege_cropped_renamed</strong> : Images in (1) cropped to remove background areas and image labels renamed</li> <li><strong>non-vege images</strong>&nbsp;: Images of non-vegetable foods for CNN network to recognize other-than-vegetable foods</li> <li><strong>food_image_dataset</strong> : Complete set of vege (2) and non-vege (3) images for architecture building.</li> <li><strong>food_image_dataset_split</strong> : Image dataset (4) split into train and test sets</li> <li><strong>process</strong> : Images created when cropping (pre-processing step) to create dataset (2).&nbsp;</li> </ol>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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