{"url":"/dataset/nutrition5k","name":"Nutrition5k","full_name":"Nutrition5k: A Comprehensive Nutrition Dataset","description_markdown":"Nutrition5k is a dataset of visual and nutritional data for ~5k realistic plates of food captured from Google cafeterias using a custom scanning rig. We are releasing this dataset alongside our recent CVPR 2021 paper to help promote research in visual nutrition understanding. Please see the paper for more details on the dataset and follow-up experiments.","description_withheld":null,"homepage":"https://github.com/google-research-datasets/Nutrition5k","introduced_date":"2021-03-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/nutrition5k-towards-automatic-nutritional","title":"Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food","first_author":"Quin Thames","url":null},"license":{"name":"Creative Commons V4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[],"tasks":[],"languages":[],"variants":["Nutrition5k"],"data_loaders":[],"num_papers_in_archive":14,"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."}