Detailled semantic labeling (2D) result


Name R. Kemker and C. Kanan
Affiliation Rochester Institute of Technology, KLab
Abbreviation KLab_3
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
0.890
0.040
0.038
0.019
0.004
0.009
building
0.053
0.917
0.012
0.005
0.001
0.012
low_veg
0.051
0.019
0.843
0.076
0.000
0.010
tree
0.045
0.008
0.158
0.783
0.002
0.004
car
0.102
0.014
0.005
0.018
0.848
0.013
clutter
0.310
0.150
0.184
0.032
0.014
0.310
Precision/Correctness
0.855
0.898
0.779
0.841
0.866
0.619
Recall/Completeness
0.890
0.917
0.843
0.783
0.848
0.310
F1
0.872
0.907
0.810
0.811
0.856
0.413

Overall accuracy 0.841

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
0.910
0.036
0.031
0.014
0.001
0.008
building
0.050
0.925
0.009
0.004
0.001
0.011
low_veg
0.039
0.014
0.870
0.068
0.000
0.009
tree
0.035
0.007
0.144
0.809
0.002
0.003
car
0.031
0.015
0.002
0.013
0.925
0.013
clutter
0.311
0.135
0.177
0.027
0.013
0.337
Precision/Correctness
0.877
0.916
0.802
0.869
0.915
0.642
Recall/Completeness
0.910
0.925
0.870
0.809
0.925
0.337
F1
0.893
0.920
0.835
0.838
0.920
0.442

Overall accuracy 0.864
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8941
0.0271
0.0470
0.0112
0.0030
0.0176
building
0.0680
0.8714
0.0337
0.0074
0.0002
0.0193
low_veg
0.0442
0.0172
0.8821
0.0447
0.0002
0.0116
tree
0.0463
0.0123
0.1773
0.7554
0.0015
0.0071
car
0.1283
0.0201
0.0042
0.0109
0.8160
0.0205
clutter
0.1604
0.2478
0.1454
0.0293
0.0593
0.3578
Precision/Correctness
0.842
0.890
0.812
0.905
0.804
0.341
Recall/Completeness
0.894
0.871
0.882
0.755
0.816
0.358
F1
0.867
0.881
0.846
0.824
0.810
0.349

Overall accuracy 0.843

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
0.9203
0.0207
0.0362
0.0070
0.0006
0.0152
building
0.0655
0.8794
0.0311
0.0061
0.0002
0.0178
low_veg
0.0364
0.0126
0.9061
0.0347
0.0001
0.0101
tree
0.0376
0.0108
0.1557
0.7884
0.0010
0.0065
car
0.0557
0.0226
0.0009
0.0054
0.8928
0.0226
clutter
0.1299
0.2506
0.1120
0.0214
0.0741
0.4121
Precision/Correctness
0.867
0.917
0.839
0.930
0.849
0.330
Recall/Completeness
0.920
0.879
0.906
0.788
0.893
0.412
F1
0.893
0.898
0.871
0.854
0.870
0.367

Overall accuracy 0.870

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
0.8573
0.0084
0.0957
0.0114
0.0035
0.0237
building
0.0777
0.8657
0.0152
0.0076
0.0007
0.0330
low_veg
0.0189
0.0054
0.9227
0.0275
0.0001
0.0254
tree
0.0243
0.0063
0.2604
0.7028
0.0008
0.0053
car
0.0984
0.0165
0.0066
0.0154
0.8544
0.0087
clutter
0.1231
0.2968
0.1700
0.0674
0.0541
0.2886
Precision/Correctness
0.853
0.896
0.778
0.947
0.821
0.053
Recall/Completeness
0.857
0.866
0.923
0.703
0.854
0.289
F1
0.855
0.880
0.844
0.807
0.837
0.090

Overall accuracy 0.828

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
0.8918
0.0051
0.0724
0.0071
0.0014
0.0222
building
0.0764
0.8758
0.0108
0.0055
0.0005
0.0309
low_veg
0.0144
0.0035
0.9349
0.0217
0.0001
0.0253
tree
0.0203
0.0058
0.2442
0.7239
0.0006
0.0052
car
0.0329
0.0213
0.0033
0.0090
0.9248
0.0087
clutter
0.0967
0.3497
0.1227
0.0756
0.0585
0.2968
Precision/Correctness
0.874
0.920
0.795
0.961
0.873
0.041
Recall/Completeness
0.892
0.876
0.935
0.724
0.925
0.297
F1
0.883
0.897
0.859
0.826
0.898
0.072

Overall accuracy 0.847

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
0.8808
0.0290
0.0581
0.0202
0.0043
0.0076
building
0.0408
0.9355
0.0100
0.0042
0.0002
0.0092
low_veg
0.0615
0.0267
0.8398
0.0641
0.0002
0.0076
tree
0.0328
0.0092
0.1270
0.8267
0.0025
0.0019
car
0.1147
0.0040
0.0050
0.0225
0.8448
0.0091
clutter
0.2902
0.2020
0.2904
0.0314
0.0129
0.1730
Precision/Correctness
0.845
0.919
0.784
0.896
0.877
0.385
Recall/Completeness
0.881
0.935
0.840
0.827
0.845
0.173
F1
0.862
0.927
0.811
0.860
0.861
0.239

Overall accuracy 0.855

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
0.9102
0.0217
0.0478
0.0135
0.0006
0.0061
building
0.0383
0.9429
0.0073
0.0032
0.0001
0.0082
low_veg
0.0499
0.0162
0.8735
0.0538
0.0001
0.0064
tree
0.0252
0.0075
0.1098
0.8539
0.0019
0.0017
car
0.0388
0.0036
0.0033
0.0153
0.9298
0.0093
clutter
0.3070
0.1985
0.2669
0.0225
0.0150
0.1900
Precision/Correctness
0.872
0.944
0.815
0.922
0.932
0.384
Recall/Completeness
0.910
0.943
0.873
0.854
0.930
0.190
F1
0.891
0.943
0.843
0.887
0.931
0.254

Overall accuracy 0.884

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
0.8457
0.0424
0.0763
0.0185
0.0050
0.0121
building
0.0443
0.9391
0.0072
0.0027
0.0008
0.0058
low_veg
0.0311
0.0195
0.9017
0.0412
0.0001
0.0063
tree
0.0317
0.0076
0.2641
0.6884
0.0019
0.0063
car
0.0882
0.0101
0.0078
0.0300
0.8475
0.0164
clutter
0.2171
0.2093
0.1886
0.0254
0.0092
0.3504
Precision/Correctness
0.839
0.901
0.727
0.914
0.834
0.591
Recall/Completeness
0.846
0.939
0.902
0.688
0.847
0.350
F1
0.843
0.920
0.805
0.785
0.841
0.440

Overall accuracy 0.826

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
0.8768
0.0363
0.0622
0.0130
0.0010
0.0106
building
0.0426
0.9452
0.0047
0.0018
0.0008
0.0048
low_veg
0.0213
0.0133
0.9285
0.0319
0.0000
0.0050
tree
0.0264
0.0065
0.2495
0.7104
0.0016
0.0055
car
0.0254
0.0100
0.0052
0.0229
0.9188
0.0177
clutter
0.2102
0.2012
0.1555
0.0190
0.0100
0.4040
Precision/Correctness
0.866
0.924
0.748
0.938
0.889
0.622
Recall/Completeness
0.877
0.945
0.928
0.710
0.919
0.404
F1
0.871
0.934
0.828
0.809
0.903
0.490

Overall accuracy 0.851

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
0.9215
0.0164
0.0314
0.0245
0.0029
0.0033
building
0.0339
0.9440
0.0084
0.0063
0.0001
0.0073
low_veg
0.0605
0.0174
0.8059
0.1143
0.0002
0.0018
tree
0.0488
0.0051
0.0620
0.8810
0.0024
0.0007
car
0.1062
0.0040
0.0093
0.0267
0.8458
0.0080
clutter
0.5178
0.1539
0.1651
0.0548
0.0137
0.0948
Precision/Correctness
0.814
0.944
0.787
0.788
0.894
0.619
Recall/Completeness
0.921
0.944
0.806
0.881
0.846
0.095
F1
0.865
0.944
0.796
0.832
0.869
0.164

Overall accuracy 0.849

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
0.9416
0.0121
0.0253
0.0180
0.0003
0.0026
building
0.0285
0.9548
0.0048
0.0050
0.0001
0.0067
low_veg
0.0442
0.0110
0.8401
0.1035
0.0000
0.0011
tree
0.0363
0.0032
0.0485
0.9097
0.0018
0.0005
car
0.0292
0.0037
0.0047
0.0184
0.9354
0.0086
clutter
0.5412
0.1414
0.1541
0.0462
0.0145
0.1026
Precision/Correctness
0.841
0.959
0.823
0.824
0.931
0.639
Recall/Completeness
0.942
0.955
0.840
0.910
0.935
0.103
F1
0.888
0.957
0.832
0.865
0.933
0.177

Overall accuracy 0.877

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
0.8649
0.0326
0.0676
0.0152
0.0054
0.0142
building
0.0232
0.9604
0.0047
0.0058
0.0010
0.0050
low_veg
0.0804
0.0246
0.7831
0.0835
0.0008
0.0277
tree
0.0396
0.0086
0.1525
0.7907
0.0024
0.0061
car
0.0908
0.0078
0.0056
0.0242
0.8587
0.0128
clutter
0.2817
0.0608
0.3649
0.0126
0.0026
0.2774
Precision/Correctness
0.784
0.899
0.684
0.851
0.887
0.688
Recall/Completeness
0.865
0.960
0.783
0.791
0.859
0.277
F1
0.823
0.929
0.730
0.820
0.873
0.395

Overall accuracy 0.793

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
0.8868
0.0279
0.0617
0.0101
0.0006
0.0130
building
0.0200
0.9682
0.0023
0.0046
0.0009
0.0041
low_veg
0.0670
0.0191
0.8109
0.0756
0.0003
0.0271
tree
0.0312
0.0069
0.1353
0.8196
0.0018
0.0052
car
0.0347
0.0076
0.0036
0.0175
0.9245
0.0121
clutter
0.2843
0.0565
0.3642
0.0096
0.0019
0.2835
Precision/Correctness
0.804
0.917
0.699
0.877
0.948
0.714
Recall/Completeness
0.887
0.968
0.811
0.820
0.925
0.283
F1
0.843
0.942
0.751
0.847
0.936
0.406

Overall accuracy 0.814

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
0.8940
0.0315
0.0552
0.0075
0.0044
0.0074
building
0.1647
0.7893
0.0111
0.0100
0.0012
0.0237
low_veg
0.0642
0.0222
0.8501
0.0545
0.0011
0.0079
tree
0.0844
0.0113
0.1492
0.7423
0.0071
0.0058
car
0.1065
0.0152
0.0069
0.0100
0.8447
0.0168
clutter
0.3672
0.2229
0.1286
0.0384
0.0138
0.2291
Precision/Correctness
0.781
0.915
0.755
0.857
0.856
0.350
Recall/Completeness
0.894
0.789
0.850
0.742
0.845
0.229
F1
0.834
0.848
0.800
0.795
0.850
0.277

Overall accuracy 0.814

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
0.9121
0.0266
0.0498
0.0049
0.0009
0.0056
building
0.1650
0.7935
0.0090
0.0092
0.0010
0.0224
low_veg
0.0420
0.0137
0.8920
0.0462
0.0005
0.0056
tree
0.0683
0.0092
0.1297
0.7818
0.0057
0.0053
car
0.0321
0.0171
0.0022
0.0056
0.9255
0.0175
clutter
0.3886
0.2247
0.1040
0.0326
0.0131
0.2369
Precision/Correctness
0.798
0.934
0.781
0.886
0.909
0.338
Recall/Completeness
0.912
0.793
0.892
0.782
0.926
0.237
F1
0.851
0.858
0.833
0.831
0.917
0.279

Overall accuracy 0.837

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
0.9039
0.0369
0.0278
0.0230
0.0035
0.0049
building
0.0208
0.9647
0.0048
0.0040
0.0001
0.0056
low_veg
0.0543
0.0281
0.8147
0.0981
0.0002
0.0046
tree
0.0638
0.0102
0.1082
0.8142
0.0028
0.0008
car
0.1104
0.0086
0.0011
0.0070
0.8568
0.0160
clutter
0.2512
0.3595
0.1285
0.0359
0.0501
0.1748
Precision/Correctness
0.896
0.899
0.847
0.777
0.873
0.548
Recall/Completeness
0.904
0.965
0.815
0.814
0.857
0.175
F1
0.900
0.931
0.830
0.795
0.865
0.265

Overall accuracy 0.868

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
0.9239
0.0303
0.0235
0.0178
0.0005
0.0040
building
0.0178
0.9703
0.0032
0.0032
0.0001
0.0054
low_veg
0.0470
0.0227
0.8381
0.0889
0.0000
0.0033
tree
0.0476
0.0078
0.0958
0.8458
0.0023
0.0006
car
0.0345
0.0094
0.0002
0.0044
0.9335
0.0180
clutter
0.2194
0.3697
0.1175
0.0357
0.0594
0.1983
Precision/Correctness
0.921
0.921
0.873
0.805
0.911
0.553
Recall/Completeness
0.924
0.970
0.838
0.846
0.933
0.198
F1
0.923
0.945
0.855
0.825
0.922
0.292

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
0.9081
0.0251
0.0237
0.0299
0.0033
0.0099
building
0.0219
0.9491
0.0062
0.0029
0.0002
0.0197
low_veg
0.0878
0.0248
0.7615
0.1202
0.0005
0.0052
tree
0.0580
0.0058
0.0857
0.8444
0.0033
0.0027
car
0.1097
0.0314
0.0044
0.0211
0.8231
0.0102
clutter
0.2674
0.2279
0.1274
0.0647
0.0105
0.3021
Precision/Correctness
0.814
0.887
0.829
0.792
0.870
0.705
Recall/Completeness
0.908
0.949
0.761
0.844
0.823
0.302
F1
0.858
0.917
0.794
0.817
0.846
0.423

Overall accuracy 0.830

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
0.9280
0.0216
0.0180
0.0232
0.0006
0.0086
building
0.0197
0.9543
0.0039
0.0022
0.0002
0.0196
low_veg
0.0715
0.0207
0.7898
0.1142
0.0001
0.0038
tree
0.0472
0.0048
0.0776
0.8656
0.0025
0.0023
car
0.0358
0.0339
0.0013
0.0139
0.9047
0.0104
clutter
0.2643
0.2039
0.1192
0.0608
0.0107
0.3411
Precision/Correctness
0.841
0.909
0.853
0.818
0.912
0.723
Recall/Completeness
0.928
0.954
0.790
0.866
0.905
0.341
F1
0.882
0.931
0.820
0.841
0.908
0.464

Overall accuracy 0.855

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
0.8708
0.0555
0.0378
0.0238
0.0029
0.0092
building
0.0650
0.9027
0.0142
0.0097
0.0007
0.0076
low_veg
0.0682
0.0208
0.7449
0.1612
0.0002
0.0047
tree
0.0397
0.0069
0.0743
0.8760
0.0022
0.0009
car
0.1383
0.0104
0.0058
0.0277
0.8067
0.0111
clutter
0.4006
0.1679
0.1083
0.0470
0.0046
0.2716
Precision/Correctness
0.848
0.855
0.753
0.723
0.917
0.742
Recall/Completeness
0.871
0.903
0.745
0.876
0.807
0.272
F1
0.859
0.878
0.749
0.792
0.858
0.398

Overall accuracy 0.818

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
0.8860
0.0528
0.0334
0.0186
0.0008
0.0084
building
0.0610
0.9112
0.0125
0.0078
0.0006
0.0069
low_veg
0.0473
0.0170
0.7770
0.1548
0.0000
0.0039
tree
0.0287
0.0050
0.0661
0.8976
0.0019
0.0007
car
0.0459
0.0103
0.0016
0.0253
0.9049
0.0120
clutter
0.4161
0.1390
0.0982
0.0454
0.0042
0.2971
Precision/Correctness
0.869
0.875
0.776
0.753
0.952
0.763
Recall/Completeness
0.886
0.911
0.777
0.898
0.905
0.297
F1
0.877
0.893
0.777
0.819
0.928
0.428

Overall accuracy 0.841

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
0.9060
0.0542
0.0174
0.0151
0.0026
0.0048
building
0.0414
0.9425
0.0116
0.0008
0.0004
0.0033
low_veg
0.0247
0.0101
0.9188
0.0458
0.0000
0.0006
tree
0.0984
0.0084
0.1086
0.7830
0.0012
0.0004
car
0.0954
0.0028
0.0011
0.0036
0.8803
0.0167
clutter
0.3928
0.0670
0.3315
0.0269
0.0122
0.1697
Precision/Correctness
0.903
0.900
0.882
0.843
0.880
0.536
Recall/Completeness
0.906
0.943
0.919
0.783
0.880
0.170
F1
0.904
0.921
0.900
0.812
0.880
0.258

Overall accuracy 0.888

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
0.9205
0.0516
0.0125
0.0104
0.0010
0.0041
building
0.0370
0.9519
0.0074
0.0005
0.0004
0.0029
low_veg
0.0152
0.0065
0.9380
0.0400
0.0000
0.0002
tree
0.0779
0.0067
0.0972
0.8169
0.0010
0.0003
car
0.0245
0.0032
0.0013
0.0016
0.9512
0.0181
clutter
0.3906
0.0592
0.3428
0.0226
0.0107
0.1740
Precision/Correctness
0.923
0.912
0.902
0.872
0.926
0.557
Recall/Completeness
0.920
0.952
0.938
0.817
0.951
0.174
F1
0.922
0.931
0.920
0.843
0.939
0.265

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
0.9366
0.0218
0.0219
0.0119
0.0055
0.0023
building
0.0606
0.9180
0.0062
0.0035
0.0018
0.0099
low_veg
0.0638
0.0207
0.8274
0.0843
0.0005
0.0033
tree
0.0549
0.0105
0.1064
0.8227
0.0049
0.0007
car
0.0903
0.0215
0.0056
0.0147
0.8579
0.0100
clutter
0.3066
0.3042
0.2231
0.0315
0.0267
0.1079
Precision/Correctness
0.894
0.931
0.831
0.797
0.875
0.345
Recall/Completeness
0.937
0.918
0.827
0.823
0.858
0.108
F1
0.915
0.925
0.829
0.810
0.866
0.164

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_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9533
0.0180
0.0172
0.0090
0.0007
0.0018
building
0.0557
0.9268
0.0035
0.0029
0.0016
0.0094
low_veg
0.0441
0.0149
0.8609
0.0776
0.0001
0.0023
tree
0.0436
0.0089
0.0952
0.8480
0.0037
0.0006
car
0.0210
0.0226
0.0025
0.0106
0.9334
0.0099
clutter
0.2955
0.3338
0.2160
0.0273
0.0257
0.1018
Precision/Correctness
0.915
0.943
0.857
0.826
0.933
0.328
Recall/Completeness
0.953
0.927
0.861
0.848
0.933
0.102
F1
0.934
0.935
0.859
0.837
0.933
0.155

Overall accuracy 0.903

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
0.8512
0.0760
0.0325
0.0207
0.0068
0.0128
building
0.0232
0.9281
0.0392
0.0050
0.0007
0.0038
low_veg
0.0586
0.0268
0.7783
0.1239
0.0014
0.0110
tree
0.0319
0.0082
0.1413
0.8124
0.0046
0.0016
car
0.0772
0.0247
0.0055
0.0170
0.8604
0.0152
clutter
0.2013
0.0999
0.2050
0.0242
0.0138
0.4558
Precision/Correctness
0.906
0.841
0.675
0.812
0.855
0.772
Recall/Completeness
0.851
0.928
0.778
0.812
0.860
0.456
F1
0.878
0.882
0.723
0.812
0.857
0.573

Overall accuracy 0.829

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
0.8704
0.0745
0.0264
0.0158
0.0013
0.0117
building
0.0190
0.9365
0.0367
0.0039
0.0006
0.0034
low_veg
0.0392
0.0242
0.8118
0.1154
0.0003
0.0091
tree
0.0234
0.0060
0.1272
0.8384
0.0036
0.0014
car
0.0207
0.0255
0.0022
0.0112
0.9241
0.0163
clutter
0.1974
0.0982
0.2000
0.0196
0.0122
0.4727
Precision/Correctness
0.927
0.853
0.692
0.842
0.921
0.797
Recall/Completeness
0.870
0.936
0.812
0.838
0.924
0.473
F1
0.898
0.893
0.747
0.840
0.923
0.593

Overall accuracy 0.851

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
0.8931
0.0549
0.0103
0.0296
0.0029
0.0092
building
0.0573
0.9055
0.0025
0.0026
0.0031
0.0291
low_veg
0.0642
0.0158
0.7296
0.1868
0.0003
0.0034
tree
0.0311
0.0037
0.1076
0.8563
0.0008
0.0006
car
0.0818
0.0096
0.0009
0.0262
0.8784
0.0030
clutter
0.2850
0.0190
0.0652
0.0032
0.0113
0.6163
Precision/Correctness
0.901
0.868
0.787
0.657
0.787
0.829
Recall/Completeness
0.893
0.906
0.730
0.856
0.878
0.616
F1
0.897
0.886
0.757
0.744
0.830
0.707

Overall accuracy 0.851

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
0.9070
0.0527
0.0081
0.0225
0.0011
0.0086
building
0.0539
0.9109
0.0015
0.0017
0.0029
0.0291
low_veg
0.0494
0.0112
0.7587
0.1783
0.0000
0.0024
tree
0.0210
0.0018
0.1020
0.8744
0.0006
0.0003
car
0.0169
0.0111
0.0002
0.0178
0.9514
0.0026
clutter
0.2770
0.0174
0.0646
0.0027
0.0103
0.6281
Precision/Correctness
0.911
0.877
0.804
0.687
0.822
0.837
Recall/Completeness
0.907
0.911
0.759
0.874
0.951
0.628
F1
0.909
0.894
0.781
0.769
0.882
0.718

Overall accuracy 0.866

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image