Detailled semantic labeling (2D) result


Name X. Zhou et al.
Affiliation Amazon Web Service Artificial Intelligence
Abbreviation AMA_1
Strategy (u)nsupervised, (s)upervised, (h)ybrid s


Overall statistics, reference set: full_reference


Number of non processed tiles by this participant: 0
↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.920
0.013
0.036
0.018
0.002
0.010
building
0.020
0.964
0.008
0.003
0.000
0.005
low_veg
0.036
0.009
0.885
0.060
0.000
0.010
tree
0.029
0.005
0.116
0.846
0.002
0.002
car
0.074
0.003
0.002
0.014
0.899
0.008
clutter
0.229
0.120
0.155
0.021
0.010
0.465
Precision/Correctness
0.908
0.949
0.822
0.876
0.921
0.754
Recall/Completeness
0.920
0.964
0.885
0.846
0.899
0.465
F1
0.914
0.956
0.852
0.861
0.910
0.575

Overall accuracy 0.889

Overall statistics, reference set: no_boundary


Number of non processed tiles by this participant: 0
↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.938
0.009
0.030
0.013
0.000
0.009
building
0.016
0.971
0.006
0.002
0.000
0.005
low_veg
0.025
0.005
0.910
0.052
0.000
0.009
tree
0.020
0.003
0.101
0.873
0.001
0.002
car
0.010
0.003
0.001
0.009
0.968
0.009
clutter
0.218
0.105
0.142
0.016
0.010
0.509
Precision/Correctness
0.931
0.964
0.846
0.903
0.953
0.774
Recall/Completeness
0.938
0.971
0.910
0.873
0.968
0.509
F1
0.934
0.968
0.877
0.888
0.960
0.614

Overall accuracy 0.912
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8881
0.0215
0.0602
0.0115
0.0020
0.0166
building
0.0124
0.9574
0.0197
0.0055
0.0000
0.0050
low_veg
0.0221
0.0076
0.9220
0.0359
0.0002
0.0123
tree
0.0311
0.0086
0.1387
0.8174
0.0011
0.0031
car
0.0805
0.0092
0.0014
0.0091
0.8750
0.0247
clutter
0.1286
0.1907
0.1517
0.0222
0.0104
0.4963
Precision/Correctness
0.918
0.930
0.839
0.926
0.911
0.495
Recall/Completeness
0.888
0.957
0.922
0.817
0.875
0.496
F1
0.903
0.943
0.879
0.868
0.893
0.496

Overall accuracy 0.887

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_2_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9113
0.0160
0.0505
0.0072
0.0002
0.0148
building
0.0090
0.9668
0.0158
0.0043
0.0000
0.0042
low_veg
0.0153
0.0039
0.9429
0.0265
0.0001
0.0113
tree
0.0226
0.0069
0.1155
0.8518
0.0007
0.0024
car
0.0210
0.0098
0.0004
0.0042
0.9349
0.0298
clutter
0.0934
0.1872
0.1108
0.0142
0.0121
0.5823
Precision/Correctness
0.944
0.951
0.867
0.948
0.955
0.489
Recall/Completeness
0.911
0.967
0.943
0.852
0.935
0.582
F1
0.928
0.959
0.903
0.897
0.945
0.531

Overall accuracy 0.913

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_2_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9006
0.0065
0.0776
0.0105
0.0012
0.0037
building
0.0037
0.9818
0.0076
0.0049
0.0001
0.0020
low_veg
0.0111
0.0029
0.9566
0.0276
0.0000
0.0018
tree
0.0154
0.0032
0.1865
0.7934
0.0008
0.0007
car
0.0599
0.0006
0.0030
0.0096
0.9268
0.0001
clutter
0.0896
0.2537
0.1795
0.0625
0.0177
0.3971
Precision/Correctness
0.927
0.941
0.833
0.954
0.911
0.456
Recall/Completeness
0.901
0.982
0.957
0.793
0.927
0.397
F1
0.913
0.961
0.890
0.866
0.919
0.425

Overall accuracy 0.890

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_2_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9282
0.0032
0.0595
0.0058
0.0000
0.0034
building
0.0013
0.9913
0.0028
0.0030
0.0001
0.0016
low_veg
0.0064
0.0012
0.9697
0.0212
0.0000
0.0015
tree
0.0115
0.0025
0.1684
0.8165
0.0005
0.0006
car
0.0052
0.0001
0.0009
0.0052
0.9885
0.0000
clutter
0.0526
0.2793
0.1262
0.0674
0.0206
0.4539
Precision/Correctness
0.951
0.964
0.852
0.967
0.948
0.446
Recall/Completeness
0.928
0.991
0.970
0.816
0.989
0.454
F1
0.940
0.977
0.907
0.885
0.968
0.450

Overall accuracy 0.909

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_3_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8864
0.0180
0.0615
0.0199
0.0027
0.0114
building
0.0123
0.9742
0.0060
0.0038
0.0000
0.0037
low_veg
0.0464
0.0173
0.8784
0.0520
0.0001
0.0058
tree
0.0237
0.0069
0.0955
0.8702
0.0019
0.0018
car
0.0734
0.0042
0.0016
0.0164
0.8989
0.0055
clutter
0.2031
0.1371
0.2773
0.0209
0.0049
0.3566
Precision/Correctness
0.898
0.947
0.816
0.915
0.924
0.600
Recall/Completeness
0.886
0.974
0.878
0.870
0.899
0.357
F1
0.892
0.960
0.846
0.892
0.911
0.447

Overall accuracy 0.890

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_3_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9127
0.0116
0.0524
0.0127
0.0001
0.0104
building
0.0093
0.9818
0.0033
0.0026
0.0000
0.0030
low_veg
0.0354
0.0083
0.9113
0.0408
0.0000
0.0043
tree
0.0164
0.0055
0.0778
0.8976
0.0013
0.0015
car
0.0104
0.0046
0.0004
0.0101
0.9681
0.0064
clutter
0.1793
0.1291
0.2577
0.0124
0.0053
0.4161
Precision/Correctness
0.928
0.968
0.847
0.941
0.968
0.617
Recall/Completeness
0.913
0.982
0.911
0.898
0.968
0.416
F1
0.920
0.975
0.878
0.919
0.968
0.497

Overall accuracy 0.918

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_3_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8975
0.0160
0.0594
0.0193
0.0031
0.0047
building
0.0116
0.9811
0.0033
0.0026
0.0000
0.0014
low_veg
0.0300
0.0094
0.9162
0.0407
0.0000
0.0037
tree
0.0197
0.0032
0.1739
0.7985
0.0010
0.0038
car
0.0637
0.0008
0.0017
0.0323
0.8909
0.0106
clutter
0.2191
0.1846
0.1685
0.0283
0.0062
0.3932
Precision/Correctness
0.891
0.946
0.797
0.924
0.907
0.778
Recall/Completeness
0.898
0.981
0.916
0.798
0.891
0.393
F1
0.894
0.963
0.852
0.857
0.899
0.522

Overall accuracy 0.880

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_3_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9253
0.0097
0.0482
0.0129
0.0003
0.0036
building
0.0095
0.9870
0.0010
0.0017
0.0000
0.0009
low_veg
0.0200
0.0040
0.9425
0.0309
0.0000
0.0026
tree
0.0143
0.0022
0.1564
0.8233
0.0008
0.0030
car
0.0087
0.0002
0.0008
0.0224
0.9560
0.0119
clutter
0.2067
0.1766
0.1351
0.0239
0.0074
0.4503
Precision/Correctness
0.920
0.965
0.821
0.947
0.954
0.818
Recall/Completeness
0.925
0.987
0.943
0.823
0.956
0.450
F1
0.923
0.976
0.878
0.881
0.955
0.581

Overall accuracy 0.905

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9339
0.0054
0.0298
0.0245
0.0012
0.0053
building
0.0179
0.9673
0.0073
0.0046
0.0000
0.0028
low_veg
0.0445
0.0060
0.8477
0.0989
0.0001
0.0029
tree
0.0218
0.0017
0.0431
0.9315
0.0013
0.0006
car
0.0766
0.0007
0.0016
0.0253
0.8950
0.0007
clutter
0.4868
0.0915
0.1583
0.0626
0.0109
0.1899
Precision/Correctness
0.850
0.973
0.816
0.809
0.939
0.808
Recall/Completeness
0.934
0.967
0.848
0.931
0.895
0.190
F1
0.890
0.970
0.831
0.866
0.916
0.308

Overall accuracy 0.881

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9514
0.0027
0.0237
0.0176
0.0001
0.0046
building
0.0120
0.9790
0.0033
0.0032
0.0000
0.0025
low_veg
0.0332
0.0020
0.8753
0.0871
0.0000
0.0023
tree
0.0117
0.0007
0.0298
0.9568
0.0008
0.0003
car
0.0084
0.0003
0.0001
0.0157
0.9749
0.0006
clutter
0.5024
0.0772
0.1427
0.0534
0.0123
0.2121
Precision/Correctness
0.876
0.983
0.853
0.847
0.951
0.830
Recall/Completeness
0.951
0.979
0.875
0.957
0.975
0.212
F1
0.912
0.981
0.864
0.898
0.963
0.338

Overall accuracy 0.907

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8693
0.0195
0.0711
0.0147
0.0030
0.0225
building
0.0269
0.9578
0.0052
0.0063
0.0000
0.0038
low_veg
0.0551
0.0131
0.8380
0.0567
0.0004
0.0367
tree
0.0266
0.0037
0.1180
0.8449
0.0021
0.0047
car
0.0671
0.0076
0.0010
0.0192
0.8867
0.0184
clutter
0.2690
0.0399
0.1411
0.0107
0.0015
0.5378
Precision/Correctness
0.812
0.938
0.777
0.891
0.935
0.766
Recall/Completeness
0.869
0.958
0.838
0.845
0.887
0.538
F1
0.840
0.948
0.806
0.867
0.910
0.632

Overall accuracy 0.843

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8861
0.0150
0.0674
0.0097
0.0003
0.0216
building
0.0239
0.9648
0.0031
0.0050
0.0000
0.0032
low_veg
0.0418
0.0080
0.8648
0.0478
0.0002
0.0375
tree
0.0187
0.0024
0.0989
0.8743
0.0016
0.0040
car
0.0145
0.0076
0.0006
0.0131
0.9448
0.0195
clutter
0.2711
0.0355
0.1270
0.0077
0.0010
0.5578
Precision/Correctness
0.831
0.955
0.798
0.916
0.972
0.782
Recall/Completeness
0.886
0.965
0.865
0.874
0.945
0.558
F1
0.857
0.960
0.830
0.895
0.958
0.651

Overall accuracy 0.864

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9133
0.0248
0.0502
0.0051
0.0019
0.0046
building
0.0143
0.9686
0.0075
0.0023
0.0000
0.0073
low_veg
0.0468
0.0179
0.8988
0.0293
0.0004
0.0068
tree
0.0542
0.0076
0.1317
0.7973
0.0053
0.0040
car
0.0865
0.0094
0.0025
0.0072
0.8854
0.0090
clutter
0.3023
0.2216
0.1709
0.0134
0.0063
0.2855
Precision/Correctness
0.913
0.941
0.781
0.929
0.930
0.592
Recall/Completeness
0.913
0.969
0.899
0.797
0.885
0.286
F1
0.913
0.954
0.836
0.858
0.907
0.385

Overall accuracy 0.894

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9286
0.0196
0.0452
0.0028
0.0002
0.0035
building
0.0113
0.9748
0.0054
0.0017
0.0000
0.0068
low_veg
0.0269
0.0092
0.9353
0.0234
0.0000
0.0051
tree
0.0378
0.0058
0.1085
0.8408
0.0037
0.0034
car
0.0149
0.0103
0.0003
0.0035
0.9598
0.0111
clutter
0.3042
0.2185
0.1626
0.0092
0.0052
0.3003
Precision/Correctness
0.940
0.957
0.807
0.951
0.965
0.595
Recall/Completeness
0.929
0.975
0.935
0.841
0.960
0.300
F1
0.934
0.966
0.867
0.893
0.962
0.399

Overall accuracy 0.919

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9337
0.0107
0.0248
0.0230
0.0015
0.0062
building
0.0182
0.9715
0.0043
0.0034
0.0000
0.0026
low_veg
0.0649
0.0106
0.8314
0.0874
0.0000
0.0056
tree
0.0393
0.0035
0.0797
0.8743
0.0024
0.0009
car
0.0883
0.0005
0.0003
0.0087
0.8975
0.0048
clutter
0.2440
0.2269
0.1566
0.0184
0.0567
0.2973
Precision/Correctness
0.905
0.954
0.867
0.805
0.897
0.699
Recall/Completeness
0.934
0.972
0.831
0.874
0.897
0.297
F1
0.919
0.963
0.849
0.838
0.897
0.417

Overall accuracy 0.896

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9519
0.0056
0.0206
0.0168
0.0001
0.0050
building
0.0145
0.9778
0.0028
0.0025
0.0000
0.0024
low_veg
0.0573
0.0059
0.8552
0.0772
0.0000
0.0043
tree
0.0248
0.0020
0.0672
0.9034
0.0019
0.0006
car
0.0095
0.0003
0.0000
0.0057
0.9792
0.0052
clutter
0.2111
0.2113
0.1479
0.0162
0.0714
0.3421
Precision/Correctness
0.930
0.971
0.893
0.835
0.911
0.718
Recall/Completeness
0.952
0.978
0.855
0.903
0.979
0.342
F1
0.941
0.975
0.874
0.868
0.944
0.463

Overall accuracy 0.920

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9245
0.0074
0.0203
0.0272
0.0010
0.0196
building
0.0133
0.9791
0.0048
0.0015
0.0001
0.0013
low_veg
0.0502
0.0145
0.8337
0.0904
0.0003
0.0110
tree
0.0399
0.0045
0.0701
0.8801
0.0036
0.0019
car
0.0914
0.0008
0.0070
0.0117
0.8695
0.0197
clutter
0.1837
0.2075
0.1639
0.0309
0.0058
0.4082
Precision/Correctness
0.873
0.921
0.847
0.842
0.924
0.780
Recall/Completeness
0.925
0.979
0.834
0.880
0.869
0.408
F1
0.898
0.949
0.840
0.861
0.896
0.536

Overall accuracy 0.872

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9416
0.0045
0.0141
0.0204
0.0000
0.0193
building
0.0109
0.9843
0.0028
0.0010
0.0000
0.0011
low_veg
0.0348
0.0115
0.8596
0.0843
0.0000
0.0099
tree
0.0299
0.0036
0.0608
0.9018
0.0026
0.0014
car
0.0108
0.0006
0.0071
0.0068
0.9525
0.0222
clutter
0.1628
0.1834
0.1566
0.0276
0.0058
0.4639
Precision/Correctness
0.905
0.940
0.871
0.866
0.946
0.796
Recall/Completeness
0.942
0.984
0.860
0.902
0.953
0.464
F1
0.923
0.962
0.865
0.884
0.949
0.586

Overall accuracy 0.897

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9138
0.0170
0.0410
0.0194
0.0012
0.0076
building
0.0147
0.9694
0.0071
0.0051
0.0002
0.0035
low_veg
0.0394
0.0063
0.8246
0.1177
0.0001
0.0119
tree
0.0274
0.0041
0.0605
0.9047
0.0020
0.0013
car
0.1060
0.0019
0.0017
0.0123
0.8710
0.0071
clutter
0.2264
0.1653
0.1496
0.0148
0.0015
0.4425
Precision/Correctness
0.921
0.924
0.768
0.794
0.963
0.839
Recall/Completeness
0.914
0.969
0.825
0.905
0.871
0.443
F1
0.918
0.946
0.795
0.846
0.915
0.579

Overall accuracy 0.880

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9278
0.0130
0.0371
0.0145
0.0004
0.0071
building
0.0100
0.9773
0.0057
0.0037
0.0002
0.0031
low_veg
0.0234
0.0026
0.8523
0.1105
0.0000
0.0113
tree
0.0179
0.0024
0.0505
0.9265
0.0015
0.0012
car
0.0192
0.0017
0.0000
0.0095
0.9614
0.0082
clutter
0.2153
0.1345
0.1454
0.0121
0.0011
0.4915
Precision/Correctness
0.944
0.945
0.787
0.824
0.978
0.853
Recall/Completeness
0.928
0.977
0.852
0.926
0.961
0.491
F1
0.936
0.961
0.818
0.872
0.970
0.624

Overall accuracy 0.902

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9450
0.0082
0.0196
0.0193
0.0012
0.0067
building
0.0344
0.9428
0.0161
0.0014
0.0001
0.0052
low_veg
0.0167
0.0028
0.9390
0.0407
0.0000
0.0007
tree
0.0451
0.0020
0.0576
0.8934
0.0011
0.0007
car
0.0553
0.0001
0.0002
0.0036
0.9392
0.0017
clutter
0.2607
0.0422
0.3379
0.0272
0.0061
0.3259
Precision/Correctness
0.938
0.979
0.899
0.856
0.939
0.622
Recall/Completeness
0.945
0.943
0.939
0.893
0.939
0.326
F1
0.941
0.961
0.918
0.874
0.939
0.428

Overall accuracy 0.924

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9613
0.0058
0.0151
0.0125
0.0001
0.0053
building
0.0297
0.9525
0.0123
0.0008
0.0001
0.0046
low_veg
0.0093
0.0010
0.9557
0.0337
0.0000
0.0003
tree
0.0300
0.0011
0.0462
0.9214
0.0008
0.0005
car
0.0032
0.0001
0.0000
0.0018
0.9930
0.0019
clutter
0.2480
0.0408
0.3503
0.0253
0.0053
0.3302
Precision/Correctness
0.954
0.986
0.917
0.889
0.976
0.647
Recall/Completeness
0.961
0.953
0.956
0.921
0.993
0.330
F1
0.957
0.969
0.936
0.905
0.984
0.437

Overall accuracy 0.942

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9528
0.0117
0.0184
0.0110
0.0036
0.0026
building
0.0370
0.9538
0.0044
0.0013
0.0003
0.0034
low_veg
0.0423
0.0081
0.8692
0.0752
0.0003
0.0048
tree
0.0356
0.0080
0.0570
0.8946
0.0040
0.0007
car
0.0520
0.0016
0.0007
0.0119
0.9319
0.0019
clutter
0.2009
0.3044
0.2138
0.0199
0.0186
0.2424
Precision/Correctness
0.932
0.954
0.876
0.832
0.926
0.660
Recall/Completeness
0.953
0.954
0.869
0.895
0.932
0.242
F1
0.942
0.954
0.873
0.862
0.929
0.355

Overall accuracy 0.917

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9670
0.0090
0.0140
0.0076
0.0002
0.0022
building
0.0315
0.9624
0.0021
0.0007
0.0001
0.0032
low_veg
0.0255
0.0035
0.8994
0.0678
0.0000
0.0038
tree
0.0250
0.0069
0.0461
0.9185
0.0030
0.0006
car
0.0039
0.0010
0.0001
0.0068
0.9863
0.0019
clutter
0.1714
0.3353
0.2086
0.0158
0.0176
0.2514
Precision/Correctness
0.951
0.963
0.900
0.862
0.970
0.674
Recall/Completeness
0.967
0.962
0.899
0.918
0.986
0.251
F1
0.959
0.963
0.900
0.889
0.978
0.366

Overall accuracy 0.936

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9239
0.0130
0.0290
0.0098
0.0037
0.0206
building
0.0174
0.9550
0.0219
0.0025
0.0000
0.0032
low_veg
0.0396
0.0048
0.8721
0.0490
0.0009
0.0336
tree
0.0377
0.0035
0.1298
0.8246
0.0029
0.0015
car
0.0620
0.0025
0.0027
0.0137
0.9130
0.0061
clutter
0.1014
0.0601
0.1741
0.0051
0.0093
0.6500
Precision/Correctness
0.936
0.957
0.735
0.913
0.916
0.736
Recall/Completeness
0.924
0.955
0.872
0.825
0.913
0.650
F1
0.930
0.956
0.798
0.866
0.915
0.690

Overall accuracy 0.891

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9413
0.0106
0.0223
0.0061
0.0002
0.0196
building
0.0124
0.9642
0.0193
0.0016
0.0000
0.0025
low_veg
0.0237
0.0027
0.9008
0.0392
0.0001
0.0334
tree
0.0282
0.0023
0.1127
0.8537
0.0021
0.0010
car
0.0081
0.0023
0.0004
0.0086
0.9743
0.0062
clutter
0.0912
0.0604
0.1648
0.0035
0.0090
0.6711
Precision/Correctness
0.956
0.965
0.757
0.939
0.962
0.754
Recall/Completeness
0.941
0.964
0.901
0.854
0.974
0.671
F1
0.949
0.965
0.823
0.894
0.968
0.710

Overall accuracy 0.912

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_7_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9366
0.0097
0.0103
0.0309
0.0022
0.0103
building
0.0311
0.9362
0.0023
0.0025
0.0001
0.0279
low_veg
0.0473
0.0063
0.7515
0.1877
0.0003
0.0069
tree
0.0128
0.0040
0.0759
0.9045
0.0005
0.0022
car
0.0457
0.0004
0.0003
0.0264
0.9225
0.0046
clutter
0.1263
0.0147
0.0544
0.0027
0.0142
0.7877
Precision/Correctness
0.949
0.967
0.822
0.665
0.836
0.853
Recall/Completeness
0.937
0.936
0.751
0.904
0.923
0.788
F1
0.943
0.951
0.785
0.766
0.877
0.819

Overall accuracy 0.902

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_7_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9519
0.0065
0.0081
0.0230
0.0008
0.0097
building
0.0279
0.9416
0.0013
0.0015
0.0001
0.0276
low_veg
0.0363
0.0027
0.7763
0.1787
0.0000
0.0060
tree
0.0075
0.0026
0.0689
0.9184
0.0002
0.0023
car
0.0036
0.0003
0.0000
0.0182
0.9731
0.0048
clutter
0.1168
0.0131
0.0526
0.0021
0.0131
0.8024
Precision/Correctness
0.957
0.978
0.840
0.696
0.863
0.861
Recall/Completeness
0.952
0.942
0.776
0.918
0.973
0.802
F1
0.955
0.959
0.807
0.792
0.915
0.830

Overall accuracy 0.917

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image