Detailled semantic labeling (2D) result

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 0.783 0.183 0.004 0.009 0.004 0.016 building 0.021 0.951 0.003 0.005 0.001 0.020 low_veg 0.276 0.118 0.503 0.060 0.001 0.043 tree 0.158 0.015 0.145 0.652 0.004 0.026 car 0.076 0.029 0.000 0.006 0.875 0.013 clutter 0.470 0.233 0.024 0.015 0.020 0.237 Precision/Correctness 0.686 0.703 0.792 0.865 0.844 0.318 Recall/Completeness 0.783 0.951 0.503 0.652 0.875 0.237 F1 0.731 0.808 0.615 0.743 0.859 0.271 Overall accuracy 0.719	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 0.790 0.185 0.003 0.007 0.001 0.014 building 0.017 0.959 0.002 0.004 0.001 0.017 low_veg 0.263 0.114 0.527 0.055 0.000 0.040 tree 0.142 0.013 0.137 0.679 0.004 0.024 car 0.016 0.029 0.000 0.004 0.938 0.013 clutter 0.486 0.220 0.016 0.012 0.020 0.245 Precision/Correctness 0.706 0.718 0.809 0.885 0.888 0.327 Recall/Completeness 0.790 0.959 0.527 0.679 0.938 0.245 F1 0.746 0.821 0.638 0.769 0.912 0.280 Overall accuracy 0.738
============================================================= Tile top_potsdam_2_13_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.5974 0.3365 0.0053 0.0049 0.0030 0.0529 building 0.0193 0.9089 0.0119 0.0089 0.0016 0.0495 low_veg 0.2306 0.0944 0.5855 0.0321 0.0008 0.0566 tree 0.1481 0.0243 0.1943 0.5878 0.0024 0.0432 car 0.0869 0.0860 0.0003 0.0018 0.7745 0.0505 clutter 0.1518 0.4198 0.0397 0.0153 0.0374 0.3360 Precision/Correctness 0.568 0.571 0.782 0.914 0.781 0.115 Recall/Completeness 0.597 0.909 0.585 0.588 0.775 0.336 F1 0.582 0.701 0.670 0.715 0.778 0.171 Overall accuracy 0.646 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 0.5988 0.3460 0.0030 0.0030 0.0007 0.0486 building 0.0158 0.9187 0.0109 0.0082 0.0013 0.0452 low_veg 0.2234 0.0882 0.6091 0.0266 0.0004 0.0523 tree 0.1364 0.0208 0.1824 0.6189 0.0019 0.0397 car 0.0274 0.0859 0.0001 0.0008 0.8295 0.0563 clutter 0.1264 0.4314 0.0285 0.0108 0.0401 0.3628 Precision/Correctness 0.584 0.588 0.801 0.932 0.835 0.101 Recall/Completeness 0.599 0.919 0.609 0.619 0.829 0.363 F1 0.591 0.717 0.692 0.744 0.832 0.158 Overall accuracy 0.667 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 0.4892 0.4467 0.0069 0.0057 0.0027 0.0488 building 0.0149 0.9442 0.0039 0.0083 0.0005 0.0283 low_veg 0.3040 0.1058 0.5144 0.0264 0.0003 0.0491 tree 0.1110 0.0133 0.2476 0.5898 0.0011 0.0372 car 0.0368 0.1757 0.0000 0.0043 0.7502 0.0330 clutter 0.1656 0.3455 0.0499 0.0320 0.0660 0.3409 Precision/Correctness 0.311 0.353 0.704 0.944 0.791 0.028 Recall/Completeness 0.489 0.944 0.514 0.590 0.750 0.341 F1 0.380 0.513 0.594 0.726 0.770 0.051 Overall accuracy 0.568 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 0.4850 0.4621 0.0032 0.0036 0.0004 0.0457 building 0.0109 0.9565 0.0022 0.0070 0.0005 0.0229 low_veg 0.3040 0.1007 0.5248 0.0219 0.0002 0.0484 tree 0.1028 0.0113 0.2409 0.6087 0.0009 0.0355 car 0.0022 0.1780 0.0000 0.0031 0.7846 0.0321 clutter 0.1315 0.3718 0.0240 0.0308 0.0637 0.3782 Precision/Correctness 0.305 0.364 0.713 0.956 0.853 0.023 Recall/Completeness 0.485 0.957 0.525 0.609 0.785 0.378 F1 0.375 0.528 0.605 0.744 0.817 0.043 Overall accuracy 0.580 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 0.8230 0.1337 0.0043 0.0093 0.0041 0.0256 building 0.0156 0.9547 0.0017 0.0035 0.0002 0.0242 low_veg 0.3328 0.0927 0.4845 0.0527 0.0004 0.0369 tree 0.1406 0.0130 0.1331 0.6951 0.0035 0.0148 car 0.0848 0.0284 0.0004 0.0100 0.8681 0.0084 clutter 0.4242 0.2631 0.0697 0.0263 0.0219 0.1948 Precision/Correctness 0.624 0.784 0.767 0.909 0.857 0.159 Recall/Completeness 0.823 0.955 0.485 0.695 0.868 0.195 F1 0.710 0.861 0.594 0.788 0.863 0.175 Overall accuracy 0.734 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 0.8359 0.1322 0.0022 0.0060 0.0005 0.0232 building 0.0119 0.9643 0.0008 0.0024 0.0001 0.0206 low_veg 0.3252 0.0845 0.5110 0.0465 0.0002 0.0326 tree 0.1261 0.0114 0.1235 0.7239 0.0028 0.0123 car 0.0192 0.0298 0.0000 0.0069 0.9349 0.0092 clutter 0.4434 0.2582 0.0563 0.0240 0.0250 0.1931 Precision/Correctness 0.646 0.807 0.788 0.929 0.908 0.142 Recall/Completeness 0.836 0.964 0.511 0.724 0.935 0.193 F1 0.729 0.878 0.620 0.814 0.921 0.164 Overall accuracy 0.759 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 0.7149 0.2208 0.0085 0.0090 0.0040 0.0429 building 0.0139 0.9673 0.0017 0.0023 0.0002 0.0145 low_veg 0.3235 0.1372 0.4630 0.0522 0.0002 0.0238 tree 0.1755 0.0087 0.1745 0.5977 0.0021 0.0415 car 0.0561 0.1057 0.0000 0.0147 0.7630 0.0606 clutter 0.2321 0.3332 0.0549 0.0167 0.0123 0.3508 Precision/Correctness 0.511 0.686 0.720 0.899 0.831 0.261 Recall/Completeness 0.715 0.967 0.463 0.598 0.763 0.351 F1 0.596 0.803 0.564 0.718 0.795 0.299 Overall accuracy 0.662 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 0.7248 0.2229 0.0058 0.0060 0.0005 0.0399 building 0.0113 0.9744 0.0009 0.0016 0.0001 0.0117 low_veg 0.3162 0.1333 0.4833 0.0473 0.0001 0.0198 tree 0.1634 0.0070 0.1674 0.6204 0.0018 0.0400 car 0.0086 0.1034 0.0000 0.0086 0.8176 0.0618 clutter 0.2155 0.3269 0.0419 0.0127 0.0123 0.3906 Precision/Correctness 0.525 0.707 0.735 0.918 0.889 0.267 Recall/Completeness 0.725 0.974 0.483 0.620 0.818 0.391 F1 0.609 0.819 0.583 0.740 0.852 0.317 Overall accuracy 0.683 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 0.7600 0.2091 0.0028 0.0116 0.0028 0.0137 building 0.0323 0.9435 0.0014 0.0053 0.0003 0.0171 low_veg 0.3473 0.1667 0.3788 0.0603 0.0003 0.0467 tree 0.1636 0.0212 0.0695 0.7290 0.0037 0.0130 car 0.0839 0.0221 0.0006 0.0142 0.8604 0.0189 clutter 0.6248 0.2365 0.0234 0.0262 0.0084 0.0807 Precision/Correctness 0.646 0.746 0.823 0.853 0.902 0.226 Recall/Completeness 0.760 0.943 0.379 0.729 0.860 0.081 F1 0.698 0.833 0.519 0.786 0.881 0.119 Overall accuracy 0.718 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 0.7650 0.2126 0.0018 0.0086 0.0005 0.0116 building 0.0269 0.9530 0.0007 0.0043 0.0003 0.0149 low_veg 0.3354 0.1627 0.4013 0.0545 0.0002 0.0459 tree 0.1402 0.0186 0.0617 0.7654 0.0028 0.0112 car 0.0141 0.0205 0.0001 0.0095 0.9381 0.0177 clutter 0.6558 0.2203 0.0168 0.0219 0.0087 0.0765 Precision/Correctness 0.671 0.763 0.852 0.881 0.936 0.216 Recall/Completeness 0.765 0.953 0.401 0.765 0.938 0.076 F1 0.715 0.848 0.546 0.819 0.937 0.113 Overall accuracy 0.742 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 0.8566 0.0921 0.0122 0.0061 0.0047 0.0283 building 0.0156 0.9600 0.0015 0.0046 0.0009 0.0174 low_veg 0.3599 0.0795 0.4228 0.0623 0.0010 0.0746 tree 0.2165 0.0111 0.1406 0.5985 0.0052 0.0282 car 0.0914 0.0111 0.0006 0.0081 0.8706 0.0183 clutter 0.4709 0.2876 0.0118 0.0096 0.0051 0.2150 Precision/Correctness 0.554 0.728 0.758 0.863 0.866 0.388 Recall/Completeness 0.857 0.960 0.423 0.598 0.871 0.215 F1 0.673 0.828 0.543 0.707 0.868 0.277 Overall accuracy 0.665 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 0.8651 0.0908 0.0114 0.0043 0.0008 0.0276 building 0.0119 0.9683 0.0006 0.0036 0.0008 0.0147 low_veg 0.3434 0.0762 0.4462 0.0604 0.0005 0.0733 tree 0.1999 0.0090 0.1330 0.6279 0.0045 0.0257 car 0.0317 0.0111 0.0005 0.0053 0.9326 0.0188 clutter 0.4699 0.2959 0.0070 0.0078 0.0038 0.2158 Precision/Correctness 0.569 0.741 0.776 0.880 0.911 0.406 Recall/Completeness 0.865 0.968 0.446 0.628 0.933 0.216 F1 0.686 0.839 0.567 0.733 0.922 0.282 Overall accuracy 0.683 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 0.8409 0.1437 0.0014 0.0026 0.0037 0.0076 building 0.0224 0.9536 0.0007 0.0039 0.0013 0.0181 low_veg 0.4007 0.2218 0.3016 0.0337 0.0017 0.0404 tree 0.2347 0.0357 0.0990 0.5874 0.0113 0.0319 car 0.0894 0.0173 0.0001 0.0013 0.8878 0.0041 clutter 0.2486 0.4441 0.0286 0.0119 0.0193 0.2475 Precision/Correctness 0.719 0.741 0.777 0.904 0.843 0.273 Recall/Completeness 0.841 0.954 0.302 0.587 0.888 0.247 F1 0.775 0.834 0.434 0.712 0.865 0.260 Overall accuracy 0.739 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 0.8496 0.1415 0.0007 0.0019 0.0008 0.0055 building 0.0185 0.9607 0.0003 0.0033 0.0011 0.0161 low_veg 0.3870 0.2249 0.3187 0.0307 0.0012 0.0375 tree 0.2129 0.0324 0.0883 0.6268 0.0095 0.0301 car 0.0162 0.0173 0.0000 0.0005 0.9619 0.0041 clutter 0.2128 0.4763 0.0238 0.0099 0.0171 0.2600 Precision/Correctness 0.746 0.759 0.804 0.922 0.883 0.269 Recall/Completeness 0.850 0.961 0.319 0.627 0.962 0.260 F1 0.795 0.848 0.457 0.746 0.921 0.264 Overall accuracy 0.762 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 0.7941 0.1801 0.0019 0.0105 0.0034 0.0099 building 0.0136 0.9690 0.0004 0.0034 0.0000 0.0136 low_veg 0.2365 0.1269 0.5035 0.0869 0.0005 0.0457 tree 0.1508 0.0163 0.0926 0.7189 0.0039 0.0175 car 0.0941 0.0017 0.0000 0.0047 0.8924 0.0071 clutter 0.2594 0.3231 0.0348 0.0133 0.1127 0.2568 Precision/Correctness 0.771 0.741 0.878 0.804 0.810 0.311 Recall/Completeness 0.794 0.969 0.504 0.719 0.892 0.257 F1 0.782 0.840 0.640 0.759 0.849 0.281 Overall accuracy 0.764 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 0.8020 0.1806 0.0011 0.0076 0.0007 0.0080 building 0.0103 0.9748 0.0002 0.0028 0.0000 0.0119 low_veg 0.2284 0.1240 0.5241 0.0805 0.0004 0.0425 tree 0.1275 0.0138 0.0864 0.7530 0.0034 0.0158 car 0.0159 0.0012 0.0000 0.0032 0.9714 0.0082 clutter 0.2321 0.3118 0.0303 0.0109 0.1378 0.2771 Precision/Correctness 0.796 0.756 0.896 0.827 0.832 0.297 Recall/Completeness 0.802 0.975 0.524 0.753 0.971 0.277 F1 0.799 0.851 0.661 0.788 0.897 0.287 Overall accuracy 0.784 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 0.8858 0.0814 0.0048 0.0155 0.0029 0.0096 building 0.0062 0.9766 0.0014 0.0054 0.0004 0.0100 low_veg 0.2025 0.2148 0.4530 0.0902 0.0008 0.0386 tree 0.1630 0.0182 0.0898 0.6988 0.0070 0.0232 car 0.0875 0.0124 0.0007 0.0033 0.8886 0.0075 clutter 0.4463 0.2537 0.0266 0.0300 0.0207 0.2227 Precision/Correctness 0.690 0.734 0.829 0.822 0.821 0.488 Recall/Completeness 0.886 0.977 0.453 0.699 0.889 0.223 F1 0.776 0.838 0.586 0.755 0.853 0.306 Overall accuracy 0.736 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 0.8980 0.0778 0.0030 0.0128 0.0005 0.0079 building 0.0041 0.9815 0.0008 0.0049 0.0003 0.0084 low_veg 0.1838 0.2159 0.4738 0.0885 0.0002 0.0378 tree 0.1466 0.0166 0.0846 0.7243 0.0059 0.0221 car 0.0171 0.0133 0.0002 0.0018 0.9595 0.0081 clutter 0.4684 0.2218 0.0184 0.0295 0.0212 0.2406 Precision/Correctness 0.712 0.757 0.848 0.839 0.848 0.503 Recall/Completeness 0.898 0.981 0.474 0.724 0.959 0.241 F1 0.794 0.855 0.608 0.777 0.901 0.325 Overall accuracy 0.758 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 0.8666 0.1036 0.0041 0.0105 0.0027 0.0125 building 0.0318 0.9378 0.0006 0.0121 0.0013 0.0164 low_veg 0.2848 0.1172 0.4663 0.0909 0.0005 0.0402 tree 0.1241 0.0108 0.0785 0.7545 0.0048 0.0272 car 0.1036 0.0018 0.0003 0.0060 0.8804 0.0079 clutter 0.6095 0.2305 0.0109 0.0097 0.0148 0.1247 Precision/Correctness 0.761 0.754 0.851 0.806 0.883 0.325 Recall/Completeness 0.867 0.938 0.466 0.755 0.880 0.125 F1 0.811 0.836 0.602 0.780 0.882 0.180 Overall accuracy 0.763 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 0.8752 0.1019 0.0034 0.0078 0.0008 0.0108 building 0.0268 0.9463 0.0004 0.0107 0.0011 0.0147 low_veg 0.2593 0.1183 0.4963 0.0863 0.0002 0.0396 tree 0.1077 0.0088 0.0725 0.7810 0.0041 0.0260 car 0.0299 0.0010 0.0000 0.0048 0.9566 0.0076 clutter 0.6450 0.2082 0.0051 0.0078 0.0143 0.1195 Precision/Correctness 0.783 0.772 0.870 0.832 0.908 0.318 Recall/Completeness 0.875 0.946 0.496 0.781 0.957 0.119 F1 0.826 0.850 0.632 0.805 0.932 0.174 Overall accuracy 0.783 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 0.7392 0.2369 0.0056 0.0093 0.0026 0.0065 building 0.0164 0.9600 0.0097 0.0012 0.0004 0.0122 low_veg 0.0983 0.0684 0.7510 0.0462 0.0006 0.0355 tree 0.1997 0.0141 0.0963 0.6833 0.0028 0.0038 car 0.0476 0.1120 0.0000 0.0028 0.8298 0.0078 clutter 0.6232 0.1656 0.0353 0.0217 0.0092 0.1450 Precision/Correctness 0.812 0.674 0.914 0.843 0.854 0.172 Recall/Completeness 0.739 0.960 0.751 0.683 0.830 0.145 F1 0.774 0.792 0.825 0.755 0.842 0.157 Overall accuracy 0.777 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 0.7451 0.2397 0.0031 0.0063 0.0009 0.0049 building 0.0128 0.9679 0.0077 0.0007 0.0004 0.0104 low_veg 0.0853 0.0637 0.7729 0.0423 0.0005 0.0353 tree 0.1765 0.0120 0.0894 0.7165 0.0025 0.0031 car 0.0040 0.1060 0.0000 0.0013 0.8817 0.0070 clutter 0.6767 0.1499 0.0169 0.0201 0.0074 0.1291 Precision/Correctness 0.834 0.685 0.930 0.865 0.899 0.152 Recall/Completeness 0.745 0.968 0.773 0.717 0.882 0.129 F1 0.787 0.802 0.844 0.784 0.890 0.139 Overall accuracy 0.794 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 0.9415 0.0402 0.0019 0.0066 0.0062 0.0037 building 0.0457 0.9332 0.0018 0.0020 0.0011 0.0161 low_veg 0.2698 0.1211 0.4901 0.0949 0.0013 0.0227 tree 0.1761 0.0044 0.0490 0.7541 0.0103 0.0062 car 0.0531 0.0167 0.0000 0.0035 0.9213 0.0053 clutter 0.3588 0.3613 0.0294 0.0221 0.0483 0.1802 Precision/Correctness 0.818 0.865 0.919 0.795 0.852 0.284 Recall/Completeness 0.941 0.933 0.490 0.754 0.921 0.180 F1 0.875 0.898 0.639 0.774 0.885 0.220 Overall accuracy 0.833 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 0.9545 0.0366 0.0010 0.0047 0.0007 0.0025 building 0.0398 0.9427 0.0009 0.0015 0.0007 0.0143 low_veg 0.2485 0.1206 0.5199 0.0907 0.0006 0.0197 tree 0.1600 0.0030 0.0431 0.7804 0.0089 0.0046 car 0.0054 0.0170 0.0000 0.0019 0.9707 0.0050 clutter 0.3450 0.3973 0.0168 0.0183 0.0470 0.1756 Precision/Correctness 0.839 0.878 0.938 0.819 0.909 0.289 Recall/Completeness 0.955 0.943 0.520 0.780 0.971 0.176 F1 0.893 0.909 0.669 0.799 0.939 0.219 Overall accuracy 0.854 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 0.8709 0.1036 0.0076 0.0046 0.0072 0.0061 building 0.0142 0.9599 0.0033 0.0048 0.0007 0.0171 low_veg 0.2560 0.0628 0.6101 0.0399 0.0020 0.0292 tree 0.1430 0.0169 0.1982 0.6199 0.0089 0.0130 car 0.0562 0.0197 0.0011 0.0053 0.9164 0.0013 clutter 0.3504 0.0995 0.0330 0.0075 0.0208 0.4889 Precision/Correctness 0.792 0.794 0.713 0.911 0.828 0.698 Recall/Completeness 0.871 0.960 0.610 0.620 0.916 0.489 F1 0.830 0.869 0.658 0.738 0.870 0.575 Overall accuracy 0.793 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 0.8816 0.1041 0.0051 0.0031 0.0012 0.0049 building 0.0086 0.9686 0.0023 0.0039 0.0007 0.0159 low_veg 0.2325 0.0599 0.6430 0.0358 0.0005 0.0283 tree 0.1287 0.0145 0.1861 0.6513 0.0078 0.0116 car 0.0095 0.0204 0.0001 0.0036 0.9656 0.0009 clutter 0.3447 0.0983 0.0247 0.0067 0.0174 0.5082 Precision/Correctness 0.816 0.806 0.732 0.930 0.890 0.724 Recall/Completeness 0.882 0.969 0.643 0.651 0.966 0.508 F1 0.847 0.880 0.685 0.766 0.926 0.597 Overall accuracy 0.813 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 0.6206 0.3475 0.0016 0.0193 0.0025 0.0085 building 0.0149 0.9426 0.0018 0.0037 0.0003 0.0367 low_veg 0.2141 0.0603 0.4997 0.1941 0.0007 0.0311 tree 0.1075 0.0042 0.0647 0.8050 0.0016 0.0169 car 0.0436 0.0209 0.0000 0.0156 0.9099 0.0099 clutter 0.6570 0.0418 0.0058 0.0015 0.0095 0.2844 Precision/Correctness 0.768 0.536 0.882 0.674 0.840 0.601 Recall/Completeness 0.621 0.943 0.500 0.805 0.910 0.284 F1 0.686 0.683 0.638 0.733 0.873 0.386 Overall accuracy 0.668 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 0.6225 0.3542 0.0010 0.0141 0.0006 0.0076 building 0.0121 0.9483 0.0013 0.0030 0.0003 0.0351 low_veg 0.1911 0.0603 0.5282 0.1909 0.0002 0.0293 tree 0.0893 0.0030 0.0608 0.8312 0.0010 0.0146 car 0.0051 0.0202 0.0000 0.0107 0.9551 0.0090 clutter 0.6609 0.0382 0.0048 0.0011 0.0086 0.2864 Precision/Correctness 0.779 0.538 0.899 0.698 0.892 0.624 Recall/Completeness 0.622 0.948 0.528 0.831 0.955 0.286 F1 0.692 0.686 0.666 0.759 0.923 0.393 Overall accuracy 0.676 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image