{"url":"/dataset/iflytek","name":"iFLYTEK","full_name":"iFLYTEK","description_markdown":"iFLYTEK and ChangGuang Satellite jointly held the challenge of extracting cultivated land from high-resolution remote sensing images.","description_withheld":null,"homepage":"https://github.com/zhaozhen2333/iFLYTEK2021","introduced_date":"2022-02-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-winning-solution-to-the-iflytek-challenge","title":"The Winning Solution to the iFLYTEK Challenge 2021 Cultivated Land Extraction from High-Resolution Remote Sensing Image","first_author":"Zhen Zhao","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["iFLYTEK"],"data_loaders":[],"num_papers_in_archive":1,"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."}