| | --- |
| | dataset_info: |
| | - config_name: default |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: depth |
| | dtype: image |
| | - name: label |
| | dtype: image |
| | 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 |
| | - config_name: uint8 |
| | features: |
| | - name: image |
| | dtype: |
| | image: |
| | mode: RGB |
| | - name: depth |
| | dtype: |
| | image: |
| | mode: L |
| | - name: label |
| | 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: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | - split: test |
| | path: data/test-* |
| | - config_name: uint8 |
| | data_files: |
| | - split: train |
| | path: uint8/train-* |
| | - split: test |
| | path: uint8/test-* |
| | --- |
| | |
| | # SUN RGB-D |
| |
|
| | Easier version for semantic segmentation. |
| |
|
| | `default` config contains RGB and uint16 version of depth images. |
| |
|
| | `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. |
| |
|
| | Comes from: |
| |
|
| | 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/)) |
| |
|
