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--- |
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dataset_info: |
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- config_name: default |
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features: |
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- name: image |
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dtype: image |
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- name: depth |
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dtype: image |
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- name: label |
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dtype: image |
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splits: |
|
- name: train |
|
num_bytes: 1829417279.14 |
|
num_examples: 5285 |
|
- name: test |
|
num_bytes: 1747976639.6 |
|
num_examples: 5050 |
|
download_size: 2452649738 |
|
dataset_size: 3577393918.74 |
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- config_name: uint8 |
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features: |
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- name: image |
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dtype: |
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image: |
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mode: RGB |
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- name: depth |
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dtype: |
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image: |
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mode: L |
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- name: label |
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dtype: |
|
image: |
|
mode: L |
|
splits: |
|
- name: train |
|
num_bytes: 673574397.52 |
|
num_examples: 5285 |
|
- name: test |
|
num_bytes: 598216510.95 |
|
num_examples: 5050 |
|
download_size: 916719066 |
|
dataset_size: 1271790908.47 |
|
configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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- config_name: uint8 |
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data_files: |
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- split: train |
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path: uint8/train-* |
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- split: test |
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path: uint8/test-* |
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--- |
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# SUN RGB-D |
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Easier version for semantic segmentation. |
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`default` config contains RGB and uint16 version of depth images. |
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`uint8` config contains RGB and uint8 version of depth images, I convert uint16 by divide the pixel values by 255 and save it in new depth image. |
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Comes from: |
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SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite (CVPR 2015) ([PDF](https://rgbd.cs.princeton.edu/paper.pdf)) ([Website](https://rgbd.cs.princeton.edu/)) |
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