semantic-8 is a benchmark for classification with 8 class labels, namely {1: man-made terrain, 2: natural terrain, 3: high vegetation, 4: low vegetation, 5: buildings, 6: hard scape, 7: scanning artefacts, 8: cars}. An additional label {0: unlabeled points} marks points without ground truth and should not be used for training! In total over a billion points are provided. Please check out the reduced benchmark if your method is too computational demanding for the full data set.
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Preview | Name | Number of Points | Scene | Description | ||
1 | bildstein1 | 29302501 | rural | church in bildstein | ||
2 | bildstein3 | 23765246 | rural | church in bildstein | ||
3 | bildstein5 | 24671679 | rural | church in bildstein | ||
4 | domfountain1 | 35494386 | urban | cathedral in feldkirch | ||
5 | domfountain2 | 35188343 | urban | cathedral in feldkirch | ||
6 | domfountain3 | 35049972 | urban | cathedral in feldkirch | ||
7 | untermaederbrunnen1 | 16658648 | rural | fountain in balgach | ||
8 | untermaederbrunnen3 | 19767991 | rural | fountain in balgach | ||
9 | neugasse | 50109087 | urban | neugasse in st. gallen | ||
10 | sg27_1 | 161044280 | rural | railroad tracks | ||
11 | sg27_2 | 248351425 | urban | town square | ||
12 | sg27_4 | 280994028 | rural | village | ||
13 | sg27_5 | 218269204 | suburban | crossing | ||
14 | sg27_9 | 222908898 | urban | soccer field | ||
15 | sg28_4 | 258719795 | urban | town square |
Preview | Name | Number of Points | Scene | Description | |
1 | stgallencathedral1 | 28181979 | urban | cathedral in st. gallen | |
2 | stgallencathedral3 | 31328976 | urban | cathedral in st. gallen | |
3 | stgallencathedral6 | 32342450 | urban | cathedral in st. gallen | |
4 | marketsquarefeldkirch1 | 23228738 | urban | market square in feldkirch | |
5 | marketsquarefeldkirch4 | 22760334 | urban | market square in feldkirch | |
6 | marketsquarefeldkirch7 | 23264911 | urban | market square in feldkirch | |
7 | birdfountain1 | 36627054 | urban | fountain in feldkirch | |
8 | castleblatten1 | 152248025 | rural | castle in blatten | |
9 | castleblatten5 | 195356302 | rural | castle in blatten | |
10 | sg27_3 | 422445052 | suburban | houses | |
11 | sg27_6 | 226790878 | urban | city block | |
12 | sg27_8 | 429615314 | urban | city center | |
13 | sg27_10 | 285579196 | urban | town square | |
14 | sg28_2 | 170158281 | rural | farm | |
15 | sg28_5 | 269007810 | suburban | buildings |
We provide both training and test data as zipped ascii text files with format {x, y, z, intensity, r, g, b}. The ground truth is provided as single column ascii file, where the row ids of the class labeles and the points correspond. 7zip was used for compression and is available for both windows and linux.