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playing_for_data.md

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Playing for Data

Extracted from Grand Thef Auto 5 (GTA)

Image Dimensions:

  • ~5000 images with 1046x1914
  • ~20000 images with 1052x1914

Outlier: 15617.png has only one class label in the whole image

Corrupt data

The corresponding labels to the following 60 images have other dimensions than the images themself:

20805.png, 20857.png, 20823.png, 20821.png, 20841.png, 20853.png, 20829.png, 20855.png, 20849.png, 20838.png, 20806.png, 20814.png, 20815.png, 20816.png, 20844.png, 20828.png, 20845.png, 20827.png, 20820.png, 20847.png, 20839.png, 20817.png, 20833.png, 20809.png, 20830.png, 20803.png, 20807.png, 20822.png, 20842.png, 20851.png, 20819.png, 20858.png, 20810.png, 20804.png, 20859.png, 20843.png, 20854.png, 20848.png, 20836.png, 20856.png, 20834.png, 20840.png, 20825.png, 20813.png, 20846.png, 20832.png, 20852.png, 20860.png, 20826.png, 20824.png, 20801.png, 20831.png, 20835.png, 20808.png, 20850.png, 20837.png, 20818.png, 20811.png, 20802.png, 20812.png

The following two images are unusable:

  1. 15188.png totally white image with dims 957x526
  2. 17705.png totally black image with dims 957x526

Classes

Number of classes: 30 (Since the labels are RGB, classes with the same color cannot be differentiated)

Class ID RGB same color pixel-wise occ [%]
'unlabeled' 0 [0,0,0] X 8.1
('ego vehicle') 1 [0,0,0] X 0
('rectification border') 2 [0,0,0] X 0
('out of roi') 3 [0,0,0] X 0
'static' 4 [20,20,20] 0.1689
'dynamic' 5 [111,74,0] 1.7172
'ground' 6 [81,0,81] 0.3171
'road' 7 [128,64,128] 32.1046
'sidewalk' 8 [244,35,232] 8.2764
'parking' 9 [250,170,160] 0
'rail track' 10 [230,150,140] 0
'building' 11 [70,70,70] 16.9
'wall' 12 [102,102,156] 1.8435
'fence' 13 [190,153,153] 0.6331
'guard rail' 14 [180,165,180] 0.0249
'bridge' 15 [150,100,100] 0.7803
'tunnel' 16 [150,120,90] 0.0932
'pole' 17 [153,153,153] P 1.06
('polegroup') 18 [153,153,153] P 0
'traffic light' 19 [250,170,30] 0.1342
'traffic sign' 20 [220,220,0] 0.0807
'vegetation' 21 [107,142,35] 7.6
'terrain' 22 [152,251,152] 2.2
'sky' 23 [70,130,180] 13.5
'person' 24 [220,20,60] 0.362
'rider' 25 [255,0,0] 0.031
'car' 26 [0,0,142] 2.5154
'truck' 27 [0,0,70] 1.129
'bus' 28 [0,60,100] 0.3680
'caravan' 29 [0,0,90] 0
'trailer' 30 [0,0,110] 0.0122
'train' 31 [0,80,100] 0.0648
'motorcycle' 32 [0,0,230] 0.0315
'bicycle' 33 [119,11,32] 0.0054