Datasets › MyFood Dataset
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.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- MyFood Dataset
1 variant name, as the archive lists them.
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