{"url":"/dataset/food2k","name":"Food2K","full_name":null,"description_markdown":"Food2K is a large food recognition dataset with 2,000 categories and over 1 million images. Compared with existing food recognition datasets, Food2K bypasses them in both categories and images by one order of magnitude, and thus establishes a new challenging benchmark to develop advanced models for food visual representation learning.  Food2K can be further explored to benefit more food-relevant tasks including emerging and more complex ones (e.g., nutritional understanding of food), and the trained models on Food2K can be expected as backbones to improve the performance of more food-relevant tasks.","description_withheld":null,"homepage":"http://123.57.42.89/FoodProject.html","introduced_date":"2021-03-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/large-scale-visual-food-recognition","title":"Large Scale Visual Food Recognition","first_author":"Weiqing Min","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[],"variants":["Food2K"],"data_loaders":[{"repo":"https://github.com/ToluwaniEsan/cwm","url":"https://github.com/ToluwaniEsan/cwm","frameworks":["tf","pytorch","jax"]}],"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."}