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README.md
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download_size: 3506288426
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dataset_size: 11568760807
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---
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download_size: 3506288426
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dataset_size: 11568760807
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---
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# RGB-D Salient Object Detection Dataset (RGB-D SOD)
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RGB-D Salient Object Detection (RGB-D SOD) aims to detect and segment objects that *visually attract the most human interest* from a pair of color and depth images.
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## Train
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- COME-8K [8025 samples]
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## Dev
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- COME-E [4600 samples]
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## Test
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- Coming soon
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## How to use
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~~~python
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from datasets import load_dataset
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dataset = load_dataset(
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"RGBD-SOD/rgbdsod_datasets", "v1", split="train", cache_dir="data"
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)
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print(dataset[0])
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~~~
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## BibTeX entry and citation info
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```bibtex
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@inproceedings{zhang2021rgb,
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title={RGB-D saliency detection via cascaded mutual information minimization},
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author={Zhang, Jing and Fan, Deng-Ping and Dai, Yuchao and Yu, Xin and Zhong, Yiran and Barnes, Nick and Shao, Ling},
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booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
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pages={4338--4347},
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year={2021}
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}
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```
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