{"url":"/dataset/logo-2k","name":"Logo-2K+","full_name":null,"description_markdown":"**Logo-2K+**:A Large-Scale Logo Dataset for Scalable Logo Classification\nThe Logo-2K+ dataset contains a diverse range of logo classes from real-world logo images. It contains 167,140 images with 10 root categories and 2,341 leaf categories.\nThe 10 different root categories are: Food, Clothes, Institution, Accessories, Transportation, Electronic, Necessities, Cosmetic, Leisure and Medical.\n\nSource: [https://github.com/msn199959/Logo-2k-plus-Dataset](https://github.com/msn199959/Logo-2k-plus-Dataset)\nImage Source: [https://github.com/msn199959/Logo-2k-plus-Dataset](https://github.com/msn199959/Logo-2k-plus-Dataset)","description_withheld":null,"homepage":"https://github.com/msn199959/Logo-2k-plus-Dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/logo-2k-a-large-scale-logo-dataset-for","title":"Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification","first_author":"Jing Wang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Data Augmentation","url":"/task/data-augmentation","datasets_with_task":"/datasets/task/data-augmentation"},{"name":"Product Recommendation","url":"/task/product-recommendation","datasets_with_task":"/datasets/task/product-recommendation"}],"languages":[],"variants":["Logo-2K+"],"data_loaders":[{"repo":"https://github.com/msn199959/Logo-2k-plus-Dataset","url":"https://github.com/msn199959/Logo-2k-plus-Dataset","frameworks":["pytorch"]}],"num_papers_in_archive":13,"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."}