Detailled semantic labeling (2D) result


Name L. Fishgold
Affiliation Azavea.com, US
Abbreviation AZ3
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
0.921
0.014
0.034
0.019
0.002
0.010
building
0.024
0.954
0.011
0.004
0.000
0.008
low_veg
0.040
0.009
0.881
0.061
0.000
0.010
tree
0.029
0.005
0.117
0.844
0.002
0.002
car
0.075
0.003
0.002
0.016
0.895
0.008
clutter
0.252
0.111
0.187
0.023
0.008
0.419
Precision/Correctness
0.900
0.949
0.815
0.874
0.920
0.721
Recall/Completeness
0.921
0.954
0.881
0.844
0.895
0.419
F1
0.910
0.951
0.847
0.859
0.907
0.530

Overall accuracy 0.884

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
0.940
0.011
0.028
0.013
0.000
0.009
building
0.020
0.963
0.008
0.003
0.000
0.007
low_veg
0.028
0.005
0.907
0.052
0.000
0.009
tree
0.021
0.003
0.102
0.871
0.001
0.002
car
0.013
0.003
0.001
0.011
0.963
0.009
clutter
0.241
0.096
0.177
0.018
0.008
0.459
Precision/Correctness
0.923
0.964
0.840
0.901
0.957
0.743
Recall/Completeness
0.940
0.963
0.907
0.871
0.963
0.459
F1
0.931
0.963
0.872
0.886
0.960
0.567

Overall accuracy 0.907
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8900
0.0242
0.0529
0.0129
0.0021
0.0178
building
0.0161
0.9514
0.0216
0.0059
0.0000
0.0049
low_veg
0.0269
0.0096
0.9100
0.0408
0.0002
0.0125
tree
0.0317
0.0087
0.1268
0.8284
0.0011
0.0033
car
0.0776
0.0091
0.0020
0.0109
0.8707
0.0296
clutter
0.1474
0.1793
0.1551
0.0290
0.0033
0.4859
Precision/Correctness
0.908
0.924
0.848
0.917
0.919
0.479
Recall/Completeness
0.890
0.951
0.910
0.828
0.871
0.486
F1
0.899
0.937
0.878
0.871
0.894
0.483

Overall accuracy 0.885

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
0.9142
0.0186
0.0431
0.0081
0.0002
0.0158
building
0.0120
0.9612
0.0184
0.0046
0.0000
0.0038
low_veg
0.0195
0.0053
0.9339
0.0296
0.0001
0.0116
tree
0.0233
0.0071
0.1056
0.8607
0.0007
0.0026
car
0.0192
0.0097
0.0009
0.0052
0.9302
0.0349
clutter
0.1124
0.1714
0.1169
0.0201
0.0040
0.5753
Precision/Correctness
0.936
0.947
0.875
0.943
0.967
0.476
Recall/Completeness
0.914
0.961
0.934
0.861
0.930
0.575
F1
0.925
0.954
0.903
0.900
0.948
0.521

Overall accuracy 0.912

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
0.8963
0.0084
0.0776
0.0125
0.0015
0.0037
building
0.0064
0.9777
0.0073
0.0063
0.0000
0.0023
low_veg
0.0115
0.0037
0.9525
0.0302
0.0000
0.0021
tree
0.0140
0.0035
0.1752
0.8057
0.0008
0.0008
car
0.0567
0.0011
0.0020
0.0091
0.9299
0.0012
clutter
0.1038
0.2447
0.2022
0.0677
0.0136
0.3680
Precision/Correctness
0.927
0.932
0.839
0.950
0.907
0.412
Recall/Completeness
0.896
0.978
0.952
0.806
0.930
0.368
F1
0.911
0.954
0.892
0.872
0.918
0.389

Overall accuracy 0.891

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
0.9268
0.0047
0.0580
0.0072
0.0001
0.0032
building
0.0040
0.9870
0.0034
0.0037
0.0000
0.0018
low_veg
0.0071
0.0017
0.9661
0.0233
0.0000
0.0018
tree
0.0102
0.0028
0.1575
0.8284
0.0005
0.0006
car
0.0040
0.0004
0.0001
0.0050
0.9888
0.0016
clutter
0.0711
0.2682
0.1585
0.0741
0.0155
0.4126
Precision/Correctness
0.951
0.957
0.858
0.964
0.953
0.402
Recall/Completeness
0.927
0.987
0.966
0.828
0.989
0.413
F1
0.939
0.972
0.909
0.891
0.970
0.407

Overall accuracy 0.911

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
0.8942
0.0176
0.0521
0.0210
0.0032
0.0120
building
0.0157
0.9682
0.0074
0.0042
0.0000
0.0046
low_veg
0.0524
0.0183
0.8659
0.0555
0.0001
0.0077
tree
0.0239
0.0061
0.0919
0.8739
0.0017
0.0025
car
0.0771
0.0036
0.0013
0.0198
0.8919
0.0063
clutter
0.2119
0.1240
0.2660
0.0245
0.0026
0.3710
Precision/Correctness
0.890
0.948
0.825
0.910
0.922
0.572
Recall/Completeness
0.894
0.968
0.866
0.874
0.892
0.371
F1
0.892
0.958
0.845
0.891
0.907
0.450

Overall accuracy 0.889

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
0.9210
0.0117
0.0427
0.0136
0.0002
0.0108
building
0.0112
0.9773
0.0049
0.0029
0.0000
0.0037
low_veg
0.0404
0.0093
0.9005
0.0440
0.0000
0.0058
tree
0.0164
0.0047
0.0746
0.9010
0.0012
0.0020
car
0.0134
0.0041
0.0003
0.0127
0.9626
0.0069
clutter
0.1874
0.1147
0.2425
0.0181
0.0029
0.4344
Precision/Correctness
0.922
0.968
0.856
0.936
0.971
0.592
Recall/Completeness
0.921
0.977
0.900
0.901
0.963
0.434
F1
0.921
0.973
0.878
0.918
0.967
0.501

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
0.8842
0.0166
0.0651
0.0233
0.0029
0.0079
building
0.0133
0.9757
0.0052
0.0032
0.0000
0.0026
low_veg
0.0256
0.0091
0.9192
0.0406
0.0000
0.0054
tree
0.0180
0.0031
0.1884
0.7847
0.0013
0.0046
car
0.0738
0.0071
0.0020
0.0320
0.8807
0.0046
clutter
0.2166
0.1639
0.1928
0.0288
0.0036
0.3943
Precision/Correctness
0.894
0.948
0.782
0.919
0.909
0.708
Recall/Completeness
0.884
0.976
0.919
0.785
0.881
0.394
F1
0.889
0.962
0.845
0.847
0.894
0.507

Overall accuracy 0.873

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
0.9149
0.0107
0.0516
0.0160
0.0002
0.0066
building
0.0105
0.9833
0.0023
0.0021
0.0000
0.0019
low_veg
0.0159
0.0039
0.9457
0.0305
0.0000
0.0040
tree
0.0131
0.0021
0.1712
0.8087
0.0011
0.0038
car
0.0133
0.0065
0.0008
0.0216
0.9522
0.0055
clutter
0.2036
0.1543
0.1574
0.0243
0.0038
0.4565
Precision/Correctness
0.924
0.967
0.807
0.943
0.956
0.749
Recall/Completeness
0.915
0.983
0.946
0.809
0.952
0.456
F1
0.920
0.975
0.871
0.871
0.954
0.567

Overall accuracy 0.900

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
0.9326
0.0060
0.0284
0.0250
0.0017
0.0063
building
0.0217
0.9614
0.0078
0.0051
0.0001
0.0038
low_veg
0.0539
0.0068
0.8377
0.0981
0.0001
0.0034
tree
0.0222
0.0018
0.0443
0.9292
0.0013
0.0012
car
0.0761
0.0004
0.0018
0.0299
0.8909
0.0008
clutter
0.4702
0.0915
0.1550
0.0689
0.0108
0.2036
Precision/Correctness
0.846
0.972
0.816
0.805
0.931
0.781
Recall/Completeness
0.933
0.961
0.838
0.929
0.891
0.204
F1
0.887
0.967
0.827
0.863
0.911
0.323

Overall accuracy 0.878

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
0.9509
0.0031
0.0223
0.0179
0.0002
0.0057
building
0.0146
0.9742
0.0040
0.0036
0.0001
0.0034
low_veg
0.0404
0.0025
0.8688
0.0857
0.0000
0.0025
tree
0.0121
0.0008
0.0311
0.9545
0.0008
0.0007
car
0.0106
0.0002
0.0003
0.0192
0.9691
0.0006
clutter
0.4802
0.0765
0.1416
0.0597
0.0122
0.2298
Precision/Correctness
0.874
0.983
0.853
0.843
0.950
0.806
Recall/Completeness
0.951
0.974
0.869
0.954
0.969
0.230
F1
0.911
0.978
0.861
0.895
0.959
0.358

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_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8862
0.0196
0.0648
0.0136
0.0032
0.0125
building
0.0234
0.9561
0.0062
0.0069
0.0002
0.0071
low_veg
0.0683
0.0123
0.8195
0.0652
0.0003
0.0344
tree
0.0294
0.0035
0.1193
0.8384
0.0019
0.0075
car
0.0716
0.0035
0.0017
0.0207
0.8851
0.0174
clutter
0.2634
0.0360
0.2063
0.0110
0.0004
0.4829
Precision/Correctness
0.808
0.941
0.756
0.881
0.938
0.769
Recall/Completeness
0.886
0.956
0.819
0.838
0.885
0.483
F1
0.845
0.948
0.787
0.859
0.911
0.593

Overall accuracy 0.836

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
0.9049
0.0159
0.0592
0.0087
0.0002
0.0111
building
0.0189
0.9654
0.0039
0.0055
0.0002
0.0061
low_veg
0.0546
0.0074
0.8456
0.0573
0.0001
0.0350
tree
0.0211
0.0023
0.1001
0.8684
0.0014
0.0068
car
0.0207
0.0031
0.0006
0.0140
0.9429
0.0187
clutter
0.2645
0.0322
0.1935
0.0085
0.0002
0.5012
Precision/Correctness
0.828
0.956
0.778
0.905
0.977
0.788
Recall/Completeness
0.905
0.965
0.846
0.868
0.943
0.501
F1
0.865
0.961
0.810
0.886
0.960
0.613

Overall accuracy 0.857

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
0.9195
0.0235
0.0433
0.0052
0.0024
0.0061
building
0.0238
0.9519
0.0126
0.0026
0.0000
0.0090
low_veg
0.0559
0.0156
0.8861
0.0346
0.0004
0.0074
tree
0.0555
0.0064
0.1296
0.7991
0.0056
0.0037
car
0.0886
0.0137
0.0029
0.0070
0.8823
0.0054
clutter
0.3023
0.2092
0.1928
0.0165
0.0040
0.2752
Precision/Correctness
0.901
0.943
0.780
0.920
0.923
0.543
Recall/Completeness
0.919
0.952
0.886
0.799
0.882
0.275
F1
0.910
0.948
0.830
0.855
0.902
0.365

Overall accuracy 0.889

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
0.9361
0.0179
0.0379
0.0028
0.0003
0.0051
building
0.0202
0.9590
0.0106
0.0018
0.0000
0.0083
low_veg
0.0345
0.0076
0.9241
0.0282
0.0000
0.0055
tree
0.0390
0.0049
0.1072
0.8418
0.0040
0.0031
car
0.0200
0.0162
0.0007
0.0031
0.9542
0.0058
clutter
0.2979
0.2056
0.1879
0.0115
0.0031
0.2939
Precision/Correctness
0.929
0.960
0.807
0.945
0.964
0.547
Recall/Completeness
0.936
0.959
0.924
0.842
0.954
0.294
F1
0.933
0.959
0.862
0.890
0.959
0.382

Overall accuracy 0.915

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
0.9296
0.0137
0.0247
0.0252
0.0018
0.0050
building
0.0187
0.9668
0.0053
0.0038
0.0000
0.0054
low_veg
0.0559
0.0117
0.8438
0.0821
0.0000
0.0065
tree
0.0403
0.0045
0.0876
0.8648
0.0020
0.0008
car
0.0905
0.0006
0.0002
0.0083
0.8938
0.0065
clutter
0.2646
0.2276
0.1569
0.0169
0.0459
0.2881
Precision/Correctness
0.907
0.949
0.863
0.805
0.907
0.663
Recall/Completeness
0.930
0.967
0.844
0.865
0.894
0.288
F1
0.918
0.958
0.853
0.834
0.901
0.402

Overall accuracy 0.894

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
0.9483
0.0085
0.0205
0.0189
0.0002
0.0036
building
0.0144
0.9734
0.0041
0.0030
0.0000
0.0051
low_veg
0.0480
0.0066
0.8688
0.0717
0.0000
0.0049
tree
0.0264
0.0028
0.0747
0.8940
0.0016
0.0005
car
0.0106
0.0005
0.0000
0.0051
0.9772
0.0067
clutter
0.2341
0.2112
0.1505
0.0146
0.0587
0.3310
Precision/Correctness
0.933
0.967
0.888
0.836
0.924
0.682
Recall/Completeness
0.948
0.973
0.869
0.894
0.977
0.331
F1
0.940
0.970
0.879
0.864
0.950
0.446

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_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9176
0.0094
0.0201
0.0280
0.0014
0.0234
building
0.0139
0.9778
0.0049
0.0020
0.0000
0.0014
low_veg
0.0610
0.0093
0.8335
0.0859
0.0003
0.0099
tree
0.0411
0.0041
0.0740
0.8761
0.0031
0.0016
car
0.0917
0.0008
0.0044
0.0150
0.8647
0.0235
clutter
0.1992
0.1972
0.1863
0.0336
0.0063
0.3774
Precision/Correctness
0.861
0.925
0.837
0.843
0.921
0.748
Recall/Completeness
0.918
0.978
0.834
0.876
0.865
0.377
F1
0.888
0.951
0.835
0.859
0.892
0.502

Overall accuracy 0.867

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
0.9348
0.0067
0.0136
0.0211
0.0001
0.0236
building
0.0111
0.9835
0.0027
0.0014
0.0000
0.0013
low_veg
0.0454
0.0062
0.8598
0.0796
0.0000
0.0090
tree
0.0311
0.0033
0.0645
0.8977
0.0022
0.0012
car
0.0177
0.0005
0.0031
0.0084
0.9446
0.0256
clutter
0.1776
0.1737
0.1816
0.0306
0.0064
0.4301
Precision/Correctness
0.892
0.944
0.862
0.868
0.946
0.762
Recall/Completeness
0.935
0.984
0.860
0.898
0.945
0.430
F1
0.913
0.963
0.861
0.882
0.945
0.550

Overall accuracy 0.892

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
0.9100
0.0248
0.0385
0.0194
0.0016
0.0057
building
0.0180
0.9658
0.0070
0.0057
0.0001
0.0034
low_veg
0.0407
0.0064
0.8363
0.1071
0.0001
0.0094
tree
0.0293
0.0035
0.0655
0.8979
0.0020
0.0017
car
0.1078
0.0011
0.0017
0.0146
0.8693
0.0055
clutter
0.2417
0.1451
0.1793
0.0161
0.0014
0.4165
Precision/Correctness
0.916
0.918
0.762
0.800
0.958
0.858
Recall/Completeness
0.910
0.966
0.836
0.898
0.869
0.416
F1
0.913
0.941
0.798
0.846
0.912
0.561

Overall accuracy 0.876

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
0.9249
0.0209
0.0341
0.0146
0.0005
0.0051
building
0.0129
0.9740
0.0057
0.0043
0.0001
0.0030
low_veg
0.0238
0.0024
0.8659
0.0990
0.0000
0.0089
tree
0.0199
0.0017
0.0556
0.9198
0.0015
0.0016
car
0.0253
0.0005
0.0001
0.0120
0.9559
0.0062
clutter
0.2296
0.1137
0.1773
0.0133
0.0011
0.4649
Precision/Correctness
0.938
0.939
0.782
0.831
0.977
0.875
Recall/Completeness
0.925
0.974
0.866
0.920
0.956
0.465
F1
0.932
0.956
0.822
0.873
0.967
0.607

Overall accuracy 0.899

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
0.9420
0.0104
0.0194
0.0197
0.0015
0.0070
building
0.0375
0.9336
0.0186
0.0014
0.0001
0.0088
low_veg
0.0189
0.0031
0.9373
0.0396
0.0000
0.0011
tree
0.0493
0.0021
0.0621
0.8844
0.0011
0.0011
car
0.0573
0.0015
0.0001
0.0057
0.9301
0.0055
clutter
0.2688
0.0304
0.3371
0.0378
0.0062
0.3196
Precision/Correctness
0.933
0.976
0.895
0.854
0.930
0.559
Recall/Completeness
0.942
0.934
0.937
0.884
0.930
0.320
F1
0.937
0.954
0.915
0.869
0.930
0.407

Overall accuracy 0.919

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
0.9589
0.0080
0.0147
0.0128
0.0001
0.0054
building
0.0320
0.9444
0.0148
0.0008
0.0001
0.0079
low_veg
0.0106
0.0010
0.9553
0.0325
0.0000
0.0005
tree
0.0343
0.0012
0.0507
0.9123
0.0008
0.0007
car
0.0044
0.0015
0.0000
0.0029
0.9864
0.0048
clutter
0.2542
0.0287
0.3494
0.0357
0.0061
0.3259
Precision/Correctness
0.950
0.983
0.913
0.887
0.972
0.582
Recall/Completeness
0.959
0.944
0.955
0.912
0.986
0.326
F1
0.954
0.964
0.934
0.900
0.979
0.418

Overall accuracy 0.938

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
0.9569
0.0090
0.0167
0.0108
0.0041
0.0025
building
0.0442
0.9419
0.0051
0.0015
0.0002
0.0071
low_veg
0.0509
0.0086
0.8670
0.0681
0.0004
0.0050
tree
0.0382
0.0075
0.0623
0.8874
0.0040
0.0006
car
0.0550
0.0029
0.0008
0.0131
0.9266
0.0016
clutter
0.2109
0.2835
0.2214
0.0224
0.0167
0.2451
Precision/Correctness
0.923
0.959
0.875
0.839
0.921
0.586
Recall/Completeness
0.957
0.942
0.867
0.887
0.927
0.245
F1
0.939
0.950
0.871
0.863
0.924
0.346

Overall accuracy 0.914

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
0.9721
0.0059
0.0121
0.0075
0.0002
0.0022
building
0.0384
0.9512
0.0025
0.0008
0.0001
0.0070
low_veg
0.0320
0.0034
0.9007
0.0603
0.0000
0.0036
tree
0.0271
0.0064
0.0508
0.9121
0.0030
0.0005
car
0.0048
0.0017
0.0002
0.0083
0.9833
0.0017
clutter
0.1745
0.3158
0.2185
0.0176
0.0162
0.2574
Precision/Correctness
0.943
0.968
0.900
0.871
0.971
0.593
Recall/Completeness
0.972
0.951
0.901
0.912
0.983
0.257
F1
0.957
0.959
0.900
0.891
0.977
0.359

Overall accuracy 0.935

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
0.9222
0.0106
0.0325
0.0101
0.0044
0.0202
building
0.0211
0.9314
0.0395
0.0032
0.0000
0.0048
low_veg
0.0374
0.0048
0.8780
0.0513
0.0010
0.0275
tree
0.0345
0.0034
0.1418
0.8160
0.0029
0.0014
car
0.0590
0.0008
0.0041
0.0161
0.9134
0.0066
clutter
0.0930
0.0485
0.2589
0.0058
0.0069
0.5869
Precision/Correctness
0.938
0.964
0.688
0.907
0.912
0.726
Recall/Completeness
0.922
0.931
0.878
0.816
0.913
0.587
F1
0.930
0.947
0.772
0.859
0.913
0.649

Overall accuracy 0.881

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
0.9415
0.0082
0.0244
0.0065
0.0003
0.0192
building
0.0149
0.9419
0.0371
0.0020
0.0000
0.0042
low_veg
0.0212
0.0027
0.9068
0.0419
0.0001
0.0273
tree
0.0252
0.0023
0.1239
0.8456
0.0020
0.0010
car
0.0078
0.0004
0.0009
0.0108
0.9735
0.0066
clutter
0.0813
0.0485
0.2516
0.0040
0.0068
0.6077
Precision/Correctness
0.958
0.971
0.707
0.934
0.965
0.744
Recall/Completeness
0.941
0.942
0.907
0.846
0.974
0.608
F1
0.950
0.956
0.795
0.888
0.969
0.669

Overall accuracy 0.903

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
0.9415
0.0106
0.0083
0.0288
0.0018
0.0089
building
0.0475
0.9075
0.0020
0.0024
0.0000
0.0406
low_veg
0.0543
0.0082
0.7498
0.1803
0.0002
0.0073
tree
0.0175
0.0070
0.0854
0.8889
0.0004
0.0008
car
0.0501
0.0037
0.0003
0.0317
0.9029
0.0112
clutter
0.2694
0.0078
0.0983
0.0032
0.0123
0.6090
Precision/Correctness
0.917
0.965
0.790
0.672
0.858
0.792
Recall/Completeness
0.941
0.907
0.750
0.889
0.903
0.609
F1
0.929
0.935
0.770
0.765
0.880
0.688

Overall accuracy 0.880

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
0.9565
0.0077
0.0061
0.0210
0.0003
0.0083
building
0.0437
0.9136
0.0011
0.0015
0.0000
0.0401
low_veg
0.0409
0.0043
0.7776
0.1710
0.0000
0.0062
tree
0.0112
0.0055
0.0791
0.9035
0.0002
0.0006
car
0.0066
0.0048
0.0000
0.0227
0.9536
0.0123
clutter
0.2616
0.0071
0.0977
0.0026
0.0117
0.6194
Precision/Correctness
0.925
0.975
0.805
0.704
0.891
0.802
Recall/Completeness
0.957
0.914
0.778
0.903
0.954
0.619
F1
0.940
0.943
0.791
0.792
0.921
0.699

Overall accuracy 0.895

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image