| --- |
| license: cc-by-nc-4.0 |
| pretty_name: COD10K |
| task_categories: |
| - image-segmentation |
| tags: |
| - camouflaged-object-detection |
| - binary-segmentation |
| - saliency |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # COD10K (Camouflaged Object Detection 10K) |
|
|
| This dataset contains the **COD10K** subset for camouflaged object detection, |
| packaged from the [SINet repository](https://github.com/DengPingFan/SINet) |
| (DengPingFan/SINet). Each example is a natural image paired with a binary |
| ground-truth object mask. |
|
|
| ## Contents |
|
|
| Only the **COD10K** portion of the SINet train/test bundles is included here. |
| The SINet distribution also ships CAMO and CHAMELEON samples; those were |
| **excluded**: |
|
|
| - **train**: 3040 COD10K samples (the 1000 CAMO `camourflage_*` samples bundled |
| in the SINet TrainDataset were filtered out). |
| - **test**: 2026 COD10K samples (the CAMO (251) and CHAMELEON (77) test sets |
| bundled in the SINet TestDataset were filtered out). |
|
|
| ## Features |
|
|
| - `image`: the RGB input image (`datasets.Image`). |
| - `mask`: the binary ground-truth object segmentation mask (`datasets.Image`, mode `L`). |
|
|
| Edge/instance maps that ship with COD10K are not included; only the binary |
| object mask is provided as `mask`. |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite the COD10K paper: |
|
|
| ```bibtex |
| @inproceedings{fan2020camouflaged, |
| title={Camouflaged Object Detection}, |
| author={Fan, Deng-Ping and Ji, Ge-Peng and Sun, Guolei and Cheng, Ming-Ming and Shen, Jianbing and Shao, Ling}, |
| booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, |
| year={2020} |
| } |
| ``` |
|
|
| ## License |
|
|
| Released for **academic / research (non-commercial)** use, following the terms |
| of the original COD10K / SINet release. No explicit SPDX license is provided by |
| the authors; this repository is tagged `cc-by-nc-4.0` to reflect the |
| non-commercial, attribution-based terms. Please refer to the |
| [original repository](https://github.com/DengPingFan/SINet) for authoritative terms. |
|
|
