MyFood Dataset

MyFood Dataset is an image database for segmenting images of Brazilian foods. Composed of 9 classes: rice, beans, boiled egg, fried egg, pasta, salad, roasted meat, apple and chicken breast. With an average of 125 images per class and a total of 1250 images, with a ratio of 60-20-20 for the training, validation and testing sets, respectively. All images have their respective food segmentation masks, according to the folder structure: <strong>Note</strong>: mask_1.png corresponds to the mask of img_1.png, and so on. <strong>MyFoodDataset/</strong> <strong> - train/</strong> <strong> img_1.png </strong> <strong> img_2.png</strong> <strong> …</strong> <strong> - train_ann/</strong> <strong> mask_1.png</strong> <strong> mask_2.png</strong> <strong> …</strong> <strong> - val/</strong> <strong> img_1.png</strong> <strong> img_2.png</strong> <strong> …</strong> <strong> - val_ann/</strong> <strong> mask_1.png</strong> <strong> mask_2.png</strong> <strong> …</strong> <strong> - test/</strong> <strong> img_1.png</strong> <strong> img_2.png</strong> <strong> …</strong> <strong> - test_ann/</strong> <strong> mask_1.png</strong> <strong> mask_2.png</strong> <strong> …</strong>