Datasets › CAMO++

CAMO++

Introduced by Trung-Nghia Le et al. in Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite31 Mar 2021 archive 2025-07-28

CAMO++ is a dataset for camouflaged object segmentation. This dataset increases the number of images with hierarchical pixel-wise ground-truths. The authors also provide a benchmark suite for the task of camouflaged instance segmentation.

Homepage JSON

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 8 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Camouflaged Object Segmentation

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

CAMO++

1 variant name, as the archive lists them.

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