
# RGB-D Salient Object Detection Dataset (RGB-D SOD)

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.

## Train

- COME-8K [8025 samples]

## Dev

- COME-E [4600 samples]

## Test

- Coming soon

## How to use

~~~python
from datasets import load_dataset

dataset = load_dataset(
    "RGBD-SOD/rgbdsod_datasets", "v1", split="train", cache_dir="data"
)
print(dataset[0])
~~~

## BibTeX entry and citation info

```bibtex
@inproceedings{zhang2021rgb,
  title={RGB-D saliency detection via cascaded mutual information minimization},
  author={Zhang, Jing and Fan, Deng-Ping and Dai, Yuchao and Yu, Xin and Zhong, Yiran and Barnes, Nick and Shao, Ling},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={4338--4347},
  year={2021}
}
```

region:us
{"dataset_info": {"features": [{"name": "depth", "dtype": "image"}, {"name": "rgb", "dtype": "image"}, {"name": "gt", "dtype": "image"}, {"name": "name", "dtype": "string"}], "config_name": "v1", "splits": [{"name": "train", "num_bytes": 7378488019, "num_examples": 8025}, {"name": "validation", "num_bytes": 4190272788, "num_examples": 4600}], "download_size": 3506288426, "dataset_size": 11568760807}}
TAGS
#region-us 


# RGB-D Salient Object Detection Dataset (RGB-D SOD)

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.

## Train

- COME-8K [8025 samples]

## Dev

- COME-E [4600 samples]

## Test

- Coming soon

## How to use

~~~python
from datasets import load_dataset

dataset = load_dataset(
    "RGBD-SOD/rgbdsod_datasets", "v1", split="train", cache_dir="data"
)
print(dataset[0])
~~~

## BibTeX entry and citation info



# RGB-D Salient Object Detection Dataset (RGB-D SOD)

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. ## Train

- COME-8K [8025 samples] ## Dev

- COME-E [4600 samples] ## Test

- Coming soon ## How to use

~~~python
from datasets import load_dataset

dataset = load_dataset(
    "RGBD-SOD/rgbdsod_datasets", "v1", split="train", cache_dir="data"
)
print(dataset[0])
~~~ ## BibTeX entry and citation info
TAGS
#region-us 
 # RGB-D Salient Object Detection Dataset (RGB-D SOD)

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. ## Train

- COME-8K [8025 samples] ## Dev

- COME-E [4600 samples] ## Test

- Coming soon ## How to use

~~~python
from datasets import load_dataset

dataset = load_dataset(
    "RGBD-SOD/rgbdsod_datasets", "v1", split="train", cache_dir="data"
)
print(dataset[0])
~~~ ## BibTeX entry and citation info
passage: TAGS
#region-us 
# RGB-D Salient Object Detection Dataset (RGB-D SOD)

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.## Train

- COME-8K [8025 samples]## Dev

- COME-E [4600 samples]## Test

- Coming soon## How to use

~~~python
from datasets import load_dataset

dataset = load_dataset(
    "RGBD-SOD/rgbdsod_datasets", "v1", split="train", cache_dir="data"
)
print(dataset[0])
~~~## BibTeX entry and citation info