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MyFood Dataset

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Mendeley Data2024-01-31 更新2024-06-27 收录
下载链接:
https://zenodo.org/record/4041488
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资源简介:
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: Note: mask_1.png corresponds to the mask of img_1.png, and so on. MyFoodDataset/ - train/ img_1.png img_2.png … - train_ann/ mask_1.png mask_2.png … - val/ img_1.png img_2.png … - val_ann/ mask_1.png mask_2.png … - test/ img_1.png img_2.png … - test_ann/ mask_1.png mask_2.png …
创建时间:
2024-01-31
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