{"url":"/dataset/foodx-251","name":"FoodX-251","full_name":null,"description_markdown":"FoodX-251 is a dataset of 251 fine-grained classes with 118k training, 12k validation and 28k test images. Human verified labels are made available for the training and test images. The classes are fine-grained and visually similar, for example, different types of cakes, sandwiches, puddings, soups, and pastas.\r\n\r\nSource: [FoodX-251: A Dataset for Fine-grained Food Classification](/paper/foodx-251-a-dataset-for-fine-grained-food)\r\nImage Source: [Kaur et al](https://arxiv.org/pdf/1907.06167v1.pdf)","description_withheld":null,"homepage":"https://github.com/karansikka1/iFood_2019","introduced_date":"2024-12-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/foodx-251-a-dataset-for-fine-grained-food","title":"FoodX-251: A Dataset for Fine-grained Food Classification","first_author":"Parneet Kaur","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Fine-Grained Image Classification","url":"/task/fine-grained-image-classification","datasets_with_task":"/datasets/task/fine-grained-image-classification"},{"name":"Food Recognition","url":"/task/food-recognition","datasets_with_task":"/datasets/task/food-recognition"},{"name":"Fine-Grained Visual Categorization","url":"/task/fine-grained-visual-categorization","datasets_with_task":"/datasets/task/fine-grained-visual-categorization"}],"languages":[],"variants":["FoodX-251"],"data_loaders":[{"repo":"https://github.com/karansikka1/iFood_2019","url":"https://github.com/karansikka1/iFood_2019","frameworks":[]}],"num_papers_in_archive":11,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/fine-grained-image-classification-on-foodx","task":"Fine-Grained Image Classification","dataset_variant":"FoodX-251","rows":2,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"CSWin-L","paper":"/paper/learning-multi-subset-of-classes-for-fine","metrics":{"Accuracy (%)":"79.90"},"code_links":[{"title":"javierrodenas/Learning-Multi-Subset-of-Classes-for-Fine-Grained-Recognition","url":"https://github.com/javierrodenas/Learning-Multi-Subset-of-Classes-for-Fine-Grained-Recognition"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/learning-multi-subset-of-classes-for-fine","title":"Learning Multi-Subset of Classes for Fine-Grained Food Recognition","date":"2022-10-10","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"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."}