VegeNet - Image datasets and Codes
<p>Compilation of python codes for data preprocessing and VegeNet building, as well as 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> : 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). </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