Detailled semantic labeling (2D) result


Name L. Fishgold
Affiliation Azavea.com, US
Abbreviation AZ1
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
0.907
0.026
0.036
0.017
0.002
0.011
building
0.015
0.969
0.005
0.005
0.001
0.005
low_veg
0.048
0.011
0.861
0.067
0.000
0.011
tree
0.038
0.009
0.130
0.817
0.002
0.004
car
0.081
0.005
0.001
0.017
0.871
0.025
clutter
0.355
0.110
0.155
0.026
0.016
0.337
Precision/Correctness
0.882
0.931
0.813
0.863
0.894
0.649
Recall/Completeness
0.907
0.969
0.861
0.817
0.871
0.337
F1
0.895
0.950
0.836
0.839
0.882
0.443

Overall accuracy 0.870

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
0.925
0.023
0.029
0.012
0.000
0.010
building
0.012
0.976
0.003
0.004
0.001
0.005
low_veg
0.038
0.006
0.887
0.059
0.000
0.011
tree
0.028
0.008
0.115
0.843
0.002
0.004
car
0.014
0.005
0.001
0.012
0.941
0.027
clutter
0.362
0.094
0.145
0.022
0.017
0.361
Precision/Correctness
0.903
0.946
0.836
0.889
0.924
0.668
Recall/Completeness
0.925
0.976
0.887
0.843
0.941
0.361
F1
0.914
0.961
0.861
0.866
0.933
0.468

Overall accuracy 0.892
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8931
0.0242
0.0368
0.0136
0.0024
0.0300
building
0.0103
0.9655
0.0049
0.0073
0.0002
0.0118
low_veg
0.0330
0.0148
0.8644
0.0464
0.0002
0.0413
tree
0.0334
0.0193
0.1513
0.7855
0.0012
0.0094
car
0.0973
0.0049
0.0021
0.0159
0.8205
0.0593
clutter
0.1176
0.1661
0.1193
0.0219
0.0427
0.5324
Precision/Correctness
0.905
0.907
0.847
0.904
0.845
0.291
Recall/Completeness
0.893
0.966
0.864
0.785
0.820
0.532
F1
0.899
0.936
0.855
0.841
0.832
0.377

Overall accuracy 0.865

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
0.9193
0.0182
0.0266
0.0085
0.0003
0.0272
building
0.0076
0.9731
0.0023
0.0063
0.0001
0.0105
low_veg
0.0267
0.0099
0.8861
0.0360
0.0001
0.0413
tree
0.0252
0.0175
0.1303
0.8178
0.0008
0.0084
car
0.0407
0.0040
0.0011
0.0088
0.8779
0.0674
clutter
0.0895
0.1596
0.0853
0.0140
0.0488
0.6027
Precision/Correctness
0.929
0.931
0.874
0.930
0.892
0.266
Recall/Completeness
0.919
0.973
0.886
0.818
0.878
0.603
F1
0.924
0.952
0.880
0.870
0.885
0.369

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: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8655
0.0081
0.0781
0.0140
0.0016
0.0328
building
0.0037
0.9757
0.0057
0.0053
0.0001
0.0096
low_veg
0.0269
0.0043
0.9086
0.0462
0.0000
0.0139
tree
0.0216
0.0071
0.1807
0.7840
0.0007
0.0059
car
0.0600
0.0003
0.0008
0.0132
0.8691
0.0565
clutter
0.0668
0.3221
0.1202
0.0614
0.0323
0.3972
Precision/Correctness
0.871
0.909
0.830
0.927
0.896
0.093
Recall/Completeness
0.865
0.976
0.909
0.784
0.869
0.397
F1
0.868
0.941
0.867
0.850
0.882
0.151

Overall accuracy 0.860

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
0.8960
0.0042
0.0573
0.0090
0.0002
0.0333
building
0.0024
0.9842
0.0029
0.0034
0.0000
0.0072
low_veg
0.0237
0.0021
0.9227
0.0380
0.0000
0.0135
tree
0.0177
0.0062
0.1661
0.8039
0.0005
0.0055
car
0.0033
0.0000
0.0001
0.0083
0.9245
0.0639
clutter
0.0333
0.3731
0.0937
0.0634
0.0341
0.4024
Precision/Correctness
0.890
0.936
0.848
0.943
0.937
0.072
Recall/Completeness
0.896
0.984
0.923
0.804
0.924
0.402
F1
0.893
0.959
0.884
0.868
0.931
0.122

Overall accuracy 0.879

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
0.8963
0.0207
0.0478
0.0228
0.0029
0.0095
building
0.0121
0.9784
0.0033
0.0030
0.0001
0.0031
low_veg
0.0572
0.0234
0.8396
0.0715
0.0001
0.0082
tree
0.0274
0.0095
0.0898
0.8681
0.0020
0.0032
car
0.0893
0.0074
0.0002
0.0245
0.8631
0.0155
clutter
0.3426
0.1609
0.2355
0.0248
0.0112
0.2251
Precision/Correctness
0.875
0.935
0.832
0.893
0.907
0.470
Recall/Completeness
0.896
0.978
0.840
0.868
0.863
0.225
F1
0.886
0.956
0.836
0.880
0.885
0.304

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9241
0.0136
0.0384
0.0154
0.0002
0.0083
building
0.0099
0.9843
0.0010
0.0021
0.0001
0.0025
low_veg
0.0458
0.0133
0.8745
0.0595
0.0000
0.0068
tree
0.0199
0.0078
0.0740
0.8942
0.0014
0.0027
car
0.0200
0.0081
0.0000
0.0172
0.9375
0.0171
clutter
0.3770
0.1543
0.2058
0.0159
0.0120
0.2350
Precision/Correctness
0.903
0.958
0.864
0.920
0.952
0.457
Recall/Completeness
0.924
0.984
0.875
0.894
0.938
0.235
F1
0.913
0.971
0.869
0.907
0.945
0.310

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_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8880
0.0181
0.0556
0.0220
0.0028
0.0135
building
0.0117
0.9779
0.0037
0.0034
0.0002
0.0031
low_veg
0.0316
0.0134
0.8861
0.0625
0.0000
0.0065
tree
0.0243
0.0150
0.1816
0.7745
0.0010
0.0036
car
0.0769
0.0185
0.0010
0.0355
0.8282
0.0399
clutter
0.2021
0.2843
0.1949
0.0300
0.0035
0.2852
Precision/Correctness
0.884
0.914
0.786
0.894
0.909
0.563
Recall/Completeness
0.888
0.978
0.886
0.774
0.828
0.285
F1
0.886
0.945
0.833
0.830
0.867
0.379

Overall accuracy 0.859

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
0.9185
0.0111
0.0434
0.0150
0.0003
0.0117
building
0.0098
0.9837
0.0013
0.0026
0.0002
0.0025
low_veg
0.0226
0.0073
0.9142
0.0508
0.0000
0.0050
tree
0.0194
0.0138
0.1677
0.7951
0.0008
0.0030
car
0.0148
0.0210
0.0004
0.0265
0.8926
0.0448
clutter
0.1911
0.3002
0.1701
0.0236
0.0037
0.3113
Precision/Correctness
0.911
0.935
0.809
0.920
0.954
0.588
Recall/Completeness
0.919
0.984
0.914
0.795
0.893
0.311
F1
0.915
0.959
0.858
0.853
0.922
0.407

Overall accuracy 0.884

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
0.9214
0.0209
0.0286
0.0254
0.0014
0.0023
building
0.0120
0.9735
0.0052
0.0061
0.0002
0.0030
low_veg
0.0538
0.0162
0.8171
0.1108
0.0001
0.0020
tree
0.0365
0.0045
0.0511
0.9053
0.0018
0.0008
car
0.0920
0.0082
0.0005
0.0291
0.8627
0.0075
clutter
0.5669
0.1080
0.1434
0.0739
0.0152
0.0927
Precision/Correctness
0.831
0.951
0.816
0.787
0.914
0.736
Recall/Completeness
0.921
0.973
0.817
0.905
0.863
0.093
F1
0.874
0.962
0.817
0.842
0.888
0.165

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9376
0.0184
0.0228
0.0190
0.0003
0.0018
building
0.0073
0.9828
0.0020
0.0049
0.0002
0.0027
low_veg
0.0413
0.0116
0.8455
0.0999
0.0000
0.0016
tree
0.0245
0.0028
0.0381
0.9328
0.0012
0.0006
car
0.0129
0.0087
0.0000
0.0216
0.9478
0.0089
clutter
0.5959
0.0915
0.1308
0.0671
0.0160
0.0987
Precision/Correctness
0.856
0.963
0.852
0.821
0.928
0.753
Recall/Completeness
0.938
0.983
0.846
0.933
0.948
0.099
F1
0.895
0.973
0.849
0.873
0.938
0.174

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_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8919
0.0190
0.0584
0.0142
0.0027
0.0137
building
0.0104
0.9766
0.0031
0.0055
0.0004
0.0041
low_veg
0.0938
0.0166
0.7849
0.0865
0.0003
0.0178
tree
0.0359
0.0079
0.1140
0.8345
0.0020
0.0057
car
0.0801
0.0055
0.0008
0.0253
0.8625
0.0257
clutter
0.5976
0.0433
0.1100
0.0121
0.0041
0.2330
Precision/Correctness
0.713
0.931
0.790
0.856
0.923
0.696
Recall/Completeness
0.892
0.977
0.785
0.834
0.863
0.233
F1
0.793
0.953
0.788
0.845
0.892
0.349

Overall accuracy 0.807

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
0.9089
0.0140
0.0547
0.0094
0.0002
0.0128
building
0.0077
0.9829
0.0014
0.0043
0.0003
0.0035
low_veg
0.0812
0.0110
0.8132
0.0779
0.0001
0.0166
tree
0.0271
0.0063
0.0977
0.8626
0.0015
0.0047
car
0.0201
0.0053
0.0006
0.0183
0.9283
0.0275
clutter
0.6167
0.0392
0.0969
0.0089
0.0036
0.2347
Precision/Correctness
0.724
0.949
0.811
0.882
0.957
0.722
Recall/Completeness
0.909
0.983
0.813
0.863
0.928
0.235
F1
0.806
0.965
0.812
0.872
0.942
0.354

Overall accuracy 0.827

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
0.9169
0.0212
0.0446
0.0081
0.0023
0.0068
building
0.0044
0.9849
0.0056
0.0033
0.0001
0.0017
low_veg
0.0532
0.0215
0.8740
0.0453
0.0002
0.0057
tree
0.0698
0.0105
0.1312
0.7769
0.0065
0.0052
car
0.0932
0.0027
0.0012
0.0085
0.8625
0.0320
clutter
0.4036
0.2142
0.1203
0.0196
0.0092
0.2331
Precision/Correctness
0.905
0.943
0.793
0.893
0.913
0.564
Recall/Completeness
0.917
0.985
0.874
0.777
0.862
0.233
F1
0.911
0.964
0.832
0.831
0.887
0.330

Overall accuracy 0.892

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
0.9335
0.0152
0.0395
0.0058
0.0004
0.0057
building
0.0024
0.9898
0.0038
0.0026
0.0001
0.0014
low_veg
0.0335
0.0120
0.9120
0.0383
0.0000
0.0043
tree
0.0532
0.0089
0.1097
0.8187
0.0051
0.0045
car
0.0162
0.0020
0.0005
0.0044
0.9397
0.0372
clutter
0.4260
0.2115
0.1043
0.0150
0.0079
0.2352
Precision/Correctness
0.932
0.960
0.821
0.918
0.947
0.564
Recall/Completeness
0.934
0.990
0.912
0.819
0.940
0.235
F1
0.933
0.975
0.864
0.866
0.943
0.332

Overall accuracy 0.917

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
0.8729
0.0664
0.0304
0.0191
0.0019
0.0093
building
0.0081
0.9825
0.0036
0.0041
0.0003
0.0014
low_veg
0.0776
0.0109
0.8334
0.0731
0.0001
0.0050
tree
0.0521
0.0057
0.1193
0.8188
0.0028
0.0013
car
0.0941
0.0036
0.0004
0.0069
0.8782
0.0167
clutter
0.2764
0.2270
0.1326
0.0241
0.0916
0.2482
Precision/Correctness
0.893
0.897
0.841
0.819
0.848
0.613
Recall/Completeness
0.873
0.983
0.833
0.819
0.878
0.248
F1
0.883
0.938
0.837
0.819
0.863
0.353

Overall accuracy 0.870

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
0.8870
0.0647
0.0257
0.0139
0.0002
0.0085
building
0.0047
0.9886
0.0020
0.0032
0.0002
0.0012
low_veg
0.0716
0.0060
0.8543
0.0648
0.0000
0.0034
tree
0.0361
0.0041
0.1057
0.8509
0.0023
0.0010
car
0.0165
0.0033
0.0000
0.0047
0.9567
0.0187
clutter
0.2554
0.2090
0.1241
0.0219
0.1143
0.2754
Precision/Correctness
0.918
0.911
0.867
0.847
0.862
0.613
Recall/Completeness
0.887
0.989
0.854
0.851
0.957
0.275
F1
0.902
0.948
0.861
0.849
0.907
0.380

Overall accuracy 0.893

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
0.9244
0.0085
0.0266
0.0251
0.0013
0.0141
building
0.0172
0.9708
0.0050
0.0037
0.0002
0.0031
low_veg
0.0662
0.0079
0.8345
0.0853
0.0002
0.0059
tree
0.0498
0.0071
0.0863
0.8510
0.0031
0.0026
car
0.0968
0.0040
0.0062
0.0191
0.8463
0.0276
clutter
0.2435
0.1775
0.1862
0.0474
0.0059
0.3395
Precision/Correctness
0.842
0.930
0.822
0.836
0.921
0.789
Recall/Completeness
0.924
0.971
0.835
0.851
0.846
0.340
F1
0.881
0.950
0.828
0.844
0.882
0.475

Overall accuracy 0.859

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
0.9409
0.0058
0.0205
0.0193
0.0003
0.0132
building
0.0150
0.9758
0.0031
0.0033
0.0001
0.0028
low_veg
0.0508
0.0044
0.8606
0.0797
0.0000
0.0045
tree
0.0387
0.0059
0.0769
0.8739
0.0023
0.0023
car
0.0136
0.0041
0.0066
0.0128
0.9326
0.0304
clutter
0.2339
0.1488
0.1844
0.0450
0.0059
0.3819
Precision/Correctness
0.871
0.950
0.844
0.859
0.943
0.810
Recall/Completeness
0.941
0.976
0.861
0.874
0.933
0.382
F1
0.904
0.962
0.852
0.867
0.938
0.519

Overall accuracy 0.884

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
0.9145
0.0082
0.0466
0.0189
0.0017
0.0101
building
0.0114
0.9720
0.0062
0.0066
0.0007
0.0031
low_veg
0.0458
0.0043
0.8154
0.1282
0.0001
0.0062
tree
0.0378
0.0058
0.0730
0.8791
0.0025
0.0018
car
0.1077
0.0059
0.0008
0.0170
0.8406
0.0279
clutter
0.4042
0.1066
0.1523
0.0251
0.0239
0.2879
Precision/Correctness
0.890
0.952
0.748
0.774
0.887
0.753
Recall/Completeness
0.915
0.972
0.815
0.879
0.841
0.288
F1
0.902
0.962
0.780
0.823
0.863
0.417

Overall accuracy 0.865

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
0.9285
0.0046
0.0423
0.0144
0.0007
0.0095
building
0.0077
0.9799
0.0041
0.0053
0.0006
0.0024
low_veg
0.0290
0.0010
0.8422
0.1225
0.0000
0.0053
tree
0.0269
0.0039
0.0630
0.9025
0.0020
0.0016
car
0.0212
0.0066
0.0001
0.0144
0.9257
0.0320
clutter
0.4194
0.0723
0.1471
0.0231
0.0264
0.3117
Precision/Correctness
0.910
0.972
0.768
0.802
0.891
0.772
Recall/Completeness
0.928
0.980
0.842
0.902
0.926
0.312
F1
0.919
0.976
0.803
0.850
0.908
0.444

Overall accuracy 0.886

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
0.8843
0.0689
0.0238
0.0144
0.0014
0.0072
building
0.0327
0.9472
0.0148
0.0019
0.0004
0.0029
low_veg
0.0188
0.0038
0.9508
0.0262
0.0000
0.0005
tree
0.0774
0.0056
0.1202
0.7940
0.0013
0.0015
car
0.0588
0.0001
0.0001
0.0068
0.8748
0.0594
clutter
0.3377
0.0562
0.3684
0.0317
0.0063
0.1997
Precision/Correctness
0.919
0.888
0.867
0.880
0.923
0.480
Recall/Completeness
0.884
0.947
0.951
0.794
0.875
0.200
F1
0.902
0.917
0.907
0.835
0.898
0.282

Overall accuracy 0.890

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
0.8966
0.0687
0.0190
0.0093
0.0003
0.0061
building
0.0286
0.9561
0.0109
0.0015
0.0004
0.0025
low_veg
0.0107
0.0020
0.9657
0.0214
0.0000
0.0002
tree
0.0593
0.0040
0.1071
0.8272
0.0010
0.0014
car
0.0041
0.0000
0.0000
0.0044
0.9266
0.0649
clutter
0.3327
0.0484
0.3849
0.0301
0.0044
0.1996
Precision/Correctness
0.937
0.895
0.886
0.910
0.960
0.490
Recall/Completeness
0.897
0.956
0.966
0.827
0.927
0.200
F1
0.917
0.925
0.924
0.866
0.943
0.284

Overall accuracy 0.907

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
0.9507
0.0096
0.0226
0.0101
0.0041
0.0029
building
0.0356
0.9401
0.0050
0.0082
0.0003
0.0107
low_veg
0.0518
0.0075
0.8748
0.0624
0.0003
0.0034
tree
0.0482
0.0087
0.1060
0.8316
0.0041
0.0015
car
0.0544
0.0015
0.0011
0.0130
0.9157
0.0143
clutter
0.3412
0.1959
0.2156
0.0202
0.0171
0.2101
Precision/Correctness
0.919
0.965
0.841
0.824
0.920
0.471
Recall/Completeness
0.951
0.940
0.875
0.832
0.916
0.210
F1
0.934
0.952
0.858
0.828
0.918
0.291

Overall accuracy 0.906

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
0.9649
0.0073
0.0178
0.0074
0.0004
0.0023
building
0.0310
0.9481
0.0026
0.0078
0.0002
0.0103
low_veg
0.0359
0.0034
0.9023
0.0562
0.0000
0.0021
tree
0.0365
0.0073
0.0925
0.8591
0.0031
0.0015
car
0.0045
0.0010
0.0002
0.0086
0.9703
0.0154
clutter
0.3356
0.2179
0.2080
0.0156
0.0151
0.2077
Precision/Correctness
0.937
0.972
0.865
0.850
0.967
0.466
Recall/Completeness
0.965
0.948
0.902
0.859
0.970
0.208
F1
0.951
0.960
0.883
0.855
0.969
0.287

Overall accuracy 0.925

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
0.9295
0.0089
0.0342
0.0108
0.0044
0.0122
building
0.0106
0.9704
0.0051
0.0041
0.0031
0.0068
low_veg
0.0540
0.0041
0.8695
0.0573
0.0007
0.0144
tree
0.0390
0.0065
0.1558
0.7908
0.0048
0.0031
car
0.0639
0.0023
0.0020
0.0125
0.9041
0.0152
clutter
0.1894
0.0227
0.2289
0.0119
0.0203
0.5268
Precision/Correctness
0.922
0.972
0.713
0.894
0.861
0.773
Recall/Completeness
0.929
0.970
0.870
0.791
0.904
0.527
F1
0.926
0.971
0.783
0.839
0.882
0.627

Overall accuracy 0.884

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
0.9471
0.0062
0.0281
0.0073
0.0003
0.0109
building
0.0068
0.9789
0.0021
0.0032
0.0029
0.0060
low_veg
0.0353
0.0016
0.9019
0.0481
0.0001
0.0130
tree
0.0294
0.0054
0.1391
0.8196
0.0039
0.0026
car
0.0081
0.0023
0.0007
0.0085
0.9639
0.0166
clutter
0.1823
0.0205
0.2252
0.0089
0.0193
0.5438
Precision/Correctness
0.942
0.981
0.732
0.921
0.902
0.797
Recall/Completeness
0.947
0.979
0.902
0.820
0.964
0.544
F1
0.944
0.980
0.808
0.867
0.932
0.646

Overall accuracy 0.905

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
0.9095
0.0378
0.0146
0.0232
0.0016
0.0133
building
0.0214
0.9589
0.0031
0.0010
0.0017
0.0140
low_veg
0.0534
0.0097
0.7961
0.1345
0.0003
0.0061
tree
0.0309
0.0108
0.1314
0.8252
0.0011
0.0007
car
0.0567
0.0023
0.0004
0.0246
0.9076
0.0084
clutter
0.2319
0.0104
0.0725
0.0023
0.0081
0.6749
Precision/Correctness
0.929
0.909
0.765
0.713
0.862
0.853
Recall/Completeness
0.910
0.959
0.796
0.825
0.908
0.675
F1
0.919
0.933
0.780
0.765
0.884
0.753

Overall accuracy 0.881

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
0.9224
0.0351
0.0123
0.0169
0.0004
0.0129
building
0.0184
0.9639
0.0020
0.0006
0.0016
0.0135
low_veg
0.0406
0.0057
0.8202
0.1278
0.0001
0.0056
tree
0.0203
0.0084
0.1217
0.8482
0.0007
0.0007
car
0.0050
0.0021
0.0000
0.0178
0.9663
0.0087
clutter
0.2245
0.0089
0.0712
0.0019
0.0072
0.6863
Precision/Correctness
0.938
0.919
0.781
0.745
0.890
0.861
Recall/Completeness
0.922
0.964
0.820
0.848
0.966
0.686
F1
0.930
0.941
0.800
0.793
0.927
0.764

Overall accuracy 0.895

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image