CAMO (Camouflaged Object dataset)

Camouflaged object segmentation dataset, mirrored to the nobg org for convenience. Each example is an RGB image of a camouflaged object paired with its binary ground-truth mask.

• image_name: original file name
• image: RGB source image
• mask: binary camouflaged-object ground-truth mask
• overlaid_mask_1, overlaid_mask_2: visualizations of the mask overlaid on the image

Splits: train (CAMO-TR) and test (CAMO-TE).

Source & credit

From the CAMO dataset introduced in "Anabranch Network for Camouflaged Object Segmentation" (Le et al., CVIU 2019). Project page: https://sites.google.com/view/ltnghia/research/camo. Redistributed here for research / non-commercial use.

Citation

@article{le2019anabranch,
  title={Anabranch Network for Camouflaged Object Segmentation},
  author={Le, Trung-Nghia and Nguyen, Tam V. and Nie, Zhongliang and Tran, Minh-Triet and Sugimoto, Akihiro},
  journal={Computer Vision and Image Understanding},
  volume={184},
  pages={45--56},
  year={2019},
  publisher={Elsevier}
}