Table 1 Review of the main elements of the most popular RGB-D dataset.

From: UASOL, a large-scale high-resolution outdoor stereo dataset

Dataset

Scale

Resolution

Modality

Outdoor

Video

Frames

Scenes

RGB

Depth

Point Cloud

SCENENET RGB-D1

5 M

57

320 × 240

✓

✓

✗

✗

✓

MATTERPORT 3D24

200 k

90

1280 × 1024

✓

✓

✓

✗

✓

STANFORD 2D-3D25

70 k

270

1080 × 1080

✓

✓

✓

✗

✓

SCENE NN26

2 k–10 k each scene

100

640 × 480

✓

✓

✗

✗

✓

MICROSOFT RGB-D27

500–1 k each seq.

7

640 × 480

✓

✓

✗

✗

✓

VIDRILO28

22 k

10

640 × 480

✓

✗

✓

✗

✓

SUN RGBD29

10 k

270

1080 × 1080

✓

✓

✓

✗

✗

NYU-D V230

1.5 k

464

640 × 480

✓

✓

✗

✗

✓

B3DO31

849

75

1080 × 1080

✓

✓

✗

✗

✗

SYNTHIA2

200 k

 

960 × 720

✓

✓

✗

✓

✗

KITTI5

1.6 k

400

1392 × 512

✓

✓

✓

✓

✗

ETH3D4

898

25

 

✓

✓

✗

✓

✓

MAKE 3D3

534

 

1280 × 1024

✓

✓

✗

✓

✓

Tanks and Temples6

147791

14

1600 × 1200

✓

✓

✓

✗

✓

Middlebury Dataset7

40 k

33

2964 × 1988

✓

✓

✗

✗

✗

OURS

482736

33

2208 × 1242

✓

✓

✗

✓

✓

  1. The important features for us are scale (number of frames and the number of different layouts or different scenes of the dataset), resolution (in pixel), modality (the data provided by the dataset) and whether it is an outdoor dataset.