{"url":"/dataset/titanic-fgs","name":"TITANIC-FGS","full_name":null,"description_markdown":"TITANIC-FGS is the first domain knowledge-enhanced, instruction-following dataset specifically designed for the Remote Sensing Fine-Grained Ship Classification (RS-FGSC) task. It simulates human-like step-by-step decision-making to train vision-language models (VLMs) for interpretable and accurate ship classification.","description_withheld":null,"homepage":"https://github.com/lostwolves/IFShip","introduced_date":"2024-08-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/ifship-a-large-vision-language-model-for","title":"IFShip: Interpretable Fine-grained Ship Classification with Domain Knowledge-Enhanced Vision-Language Models","first_author":"Mingning Guo","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["TITANIC-FGS"],"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."}