Datasets › RMAS

RMAS (Real-World Marine Animal Segmentation)

archive 2025-07-28

We construct a new large-scale real-world MAS data set for conducting extensive experiments. It consists of over 3000 images with various underwater scenes and objects. Each image is annotated with an object-level mask and assigned to a category.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Image Segmentation RMAS MAS-SAM mIoU 0.742 MAS-SAM: Segment Any Marine Animal with Aggregated Features drchip61/mas-sam 4 Compare

Papers archive 2025-07-28

4 shown of 4 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 4. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation 1 1 16 Aug 2024 ran 5 of 9 samples (4 unverified)
MAS-SAM: Segment Any Marine Animal with Aggregated Features 1 1 24 Apr 2024 ran 12 of 20 samples (8 unverified; 20 pointer-only for licence)
MASNet: A Robust Deep Marine Animal Segmentation Network 1 1 1 May 2023 not harvested
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection 1 1 5 Mar 2022 ran 12 of 13 samples (1 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • RMAS

1 variant name, as the archive lists them.

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