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@@ -51,26 +51,38 @@ task_categories:
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  tags:
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  - dichotomous-image-segmentation
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  - dis
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- pretty_name: DIS
 
 
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  size_categories:
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  - 1K<n<10K
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  ---
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- # DIS5K
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- This dataset has been ported from [DIS](https://github.com/xuebinqin/DIS) more specifically taken from [drive_link](https://drive.google.com/file/d/1O1eIuXX1hlGsV7qx4eSkjH231q7G1by1/view?usp=sharing)
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- 🔗 dataset page: https://xuebinqin.github.io/dis/index.html
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- 🔗 github repo : https://github.com/xuebinqin/DIS
 
 
 
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- ## Citation
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- Bibtex
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- ```
 
 
 
 
 
 
 
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  @InProceedings{qin2022,
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- author={Xuebin Qin and Hang Dai and Xiaobin Hu and Deng-Ping Fan and Ling Shao and Luc Van Gool},
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- title={Highly Accurate Dichotomous Image Segmentation},
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- booktitle={ECCV},
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- year={2022}
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  }
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  ```
 
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  tags:
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  - dichotomous-image-segmentation
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  - dis
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+ - salient-object-detection
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+ - background-removal
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+ pretty_name: DIS5K
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  size_categories:
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  - 1K<n<10K
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  ---
 
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+ # DIS5K (Dichotomous Image Segmentation 5K)
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+ High-accuracy dichotomous image segmentation dataset, mirrored to the `nobg` org for convenience. Each example is an RGB image paired with a high-quality binary segmentation label.
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+ - `image`: RGB source image
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+ - `label`: binary segmentation ground-truth mask
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+ - `image_name`: original image file name
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+ - `label_name`: original label file name
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+ Splits: `DIS_TR` (train, 3000), `DIS_VD` (validation, 470), and the four test sets `DIS_TE1`–`DIS_TE4` (500 each, increasing in structural complexity).
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+ ## Source & credit
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+
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+ Ported from **DIS** ([github.com/xuebinqin/DIS](https://github.com/xuebinqin/DIS)), specifically from this [drive link](https://drive.google.com/file/d/1O1eIuXX1hlGsV7qx4eSkjH231q7G1by1/view?usp=sharing).
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+
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+ - 🔗 Dataset page: https://xuebinqin.github.io/dis/index.html
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+ - 🔗 GitHub repo: https://github.com/xuebinqin/DIS
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+
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+ ## Citation
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+
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+ ```bibtex
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  @InProceedings{qin2022,
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+ author={Xuebin Qin and Hang Dai and Xiaobin Hu and Deng-Ping Fan and Ling Shao and Luc Van Gool},
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+ title={Highly Accurate Dichotomous Image Segmentation},
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+ booktitle={ECCV},
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+ year={2022}
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  }
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  ```