Dataset · Hugging Face

LiamLian0727/USIS10K

Name: USIS10K
Creator: LiamLian0727
License: apache-2.0
Keywords: task_categories:image-segmentation, task_categories:object-detection, task_categories:image-classification, language:en, license:apache-2.0, size_categories:10K<n<100K, format:imagefolder, modality:image, modality:text, library:datasets, library:mlcroissant, region:us, underwater, instance, segmentation

This dataset is proposed by the ICML 2024 paper "Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset", specific parameters about the dataset can be viewed in the paper In this paper, we construct the first large-scale USIS10K dataset for the underwater salient instance segmentation task, which contains 10,632 images and pixel-level annotations of 7 categories. As far as we know, this is the largest salient instance… See the full description on the dataset page: https://huggingface.co/datasets/LiamLian0727/USIS10K.

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Author / organization	LiamLian0727
License (as declared)	apache-2.0
Downloads	200 (as reported by Hugging Face)
Likes	0
Created	12 August 2025
Last updated at source	12 August 2025

underwaterinstancesegmentationimagetextsalient

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