Datasets › TITANIC-FGS

TITANIC-FGS

Introduced by Mingning Guo et al. in IFShip: Interpretable Fine-grained Ship Classification with Domain Knowledge-Enhanced Vision-Language Models13 Aug 2024 archive 2025-07-28

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.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • TITANIC-FGS

1 variant name, as the archive lists them.

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