{"url":"/dataset/myfood-dataset","name":"MyFood Dataset","full_name":null,"description_markdown":"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.","description_withheld":null,"homepage":"http://doi.org/10.5281/zenodo.4041488","introduced_date":"2020-09-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/myfood-a-food-segmentation-and-classification","title":"MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring","first_author":"Charles N. C. Freitas","url":null},"license":{"name":"Attribution 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[],"tasks":[],"languages":[],"variants":["MyFood Dataset"],"data_loaders":[{"repo":"https://github.com/sarveshgaikwad/fooddata","url":"https://github.com/sarveshgaikwad/fooddata","frameworks":[]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}