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 0.880 0.019 0.056 0.034 0.003 0.007 building 0.030 0.932 0.012 0.021 0.000 0.004 low_veg 0.082 0.013 0.796 0.100 0.001 0.008 tree 0.085 0.011 0.214 0.684 0.004 0.002 car 0.268 0.014 0.011 0.021 0.670 0.015 clutter 0.385 0.096 0.288 0.053 0.020 0.157 Precision/Correctness 0.817 0.935 0.704 0.747 0.824 0.581 Recall/Completeness 0.880 0.932 0.796 0.684 0.670 0.157 F1 0.848 0.933 0.747 0.714 0.740 0.248 Overall accuracy 0.804	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 0.899 0.016 0.049 0.029 0.001 0.006 building 0.025 0.944 0.008 0.020 0.000 0.003 low_veg 0.068 0.009 0.824 0.091 0.000 0.007 tree 0.076 0.010 0.203 0.706 0.004 0.001 car 0.176 0.016 0.008 0.018 0.767 0.017 clutter 0.387 0.083 0.286 0.048 0.020 0.176 Precision/Correctness 0.844 0.950 0.725 0.774 0.863 0.605 Recall/Completeness 0.899 0.944 0.824 0.706 0.767 0.176 F1 0.871 0.947 0.771 0.739 0.812 0.273 Overall accuracy 0.829
============================================================= Tile top_potsdam_2_13_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.8297 0.0190 0.0827 0.0529 0.0025 0.0132 building 0.0277 0.8819 0.0197 0.0675 0.0004 0.0028 low_veg 0.0373 0.0082 0.8577 0.0926 0.0001 0.0040 tree 0.0499 0.0114 0.2279 0.7070 0.0017 0.0020 car 0.2504 0.0180 0.0195 0.0253 0.6689 0.0178 clutter 0.2673 0.1174 0.2533 0.1233 0.0860 0.1528 Precision/Correctness 0.850 0.930 0.760 0.745 0.737 0.342 Recall/Completeness 0.830 0.882 0.858 0.707 0.669 0.153 F1 0.840 0.905 0.806 0.726 0.701 0.211 Overall accuracy 0.804 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 0.8563 0.0146 0.0708 0.0448 0.0007 0.0128 building 0.0213 0.8975 0.0141 0.0645 0.0003 0.0023 low_veg 0.0281 0.0049 0.8830 0.0805 0.0000 0.0035 tree 0.0436 0.0105 0.2107 0.7322 0.0013 0.0018 car 0.1668 0.0204 0.0145 0.0203 0.7590 0.0190 clutter 0.2524 0.1156 0.2173 0.1157 0.1061 0.1929 Precision/Correctness 0.883 0.948 0.787 0.775 0.777 0.346 Recall/Completeness 0.856 0.897 0.883 0.732 0.759 0.193 F1 0.869 0.922 0.832 0.753 0.768 0.248 Overall accuracy 0.833 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 0.7842 0.0061 0.1110 0.0632 0.0022 0.0333 building 0.0187 0.9231 0.0147 0.0342 0.0002 0.0091 low_veg 0.0292 0.0036 0.8435 0.0997 0.0003 0.0237 tree 0.0239 0.0069 0.2111 0.7566 0.0009 0.0006 car 0.2098 0.0176 0.0085 0.0252 0.7336 0.0053 clutter 0.1957 0.2001 0.2495 0.1986 0.0509 0.1052 Precision/Correctness 0.835 0.917 0.787 0.832 0.819 0.023 Recall/Completeness 0.784 0.923 0.844 0.757 0.734 0.105 F1 0.809 0.920 0.815 0.793 0.774 0.038 Overall accuracy 0.806 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 0.8169 0.0038 0.0943 0.0537 0.0008 0.0305 building 0.0127 0.9427 0.0073 0.0289 0.0001 0.0083 low_veg 0.0237 0.0020 0.8620 0.0893 0.0002 0.0228 tree 0.0210 0.0066 0.2004 0.7708 0.0007 0.0005 car 0.1219 0.0207 0.0035 0.0196 0.8290 0.0054 clutter 0.1899 0.2396 0.1886 0.2223 0.0523 0.1074 Precision/Correctness 0.863 0.936 0.804 0.854 0.867 0.018 Recall/Completeness 0.817 0.943 0.862 0.771 0.829 0.107 F1 0.839 0.939 0.832 0.810 0.848 0.031 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_13_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.8114 0.0256 0.0930 0.0585 0.0033 0.0082 building 0.0198 0.9528 0.0104 0.0155 0.0000 0.0015 low_veg 0.0741 0.0249 0.7733 0.1234 0.0004 0.0039 tree 0.0526 0.0145 0.1601 0.7680 0.0031 0.0017 car 0.2559 0.0211 0.0134 0.0236 0.6769 0.0091 clutter 0.3007 0.1415 0.3854 0.1078 0.0174 0.0472 Precision/Correctness 0.817 0.924 0.712 0.780 0.850 0.223 Recall/Completeness 0.811 0.953 0.773 0.768 0.677 0.047 F1 0.814 0.938 0.741 0.774 0.754 0.078 Overall accuracy 0.807 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 0.8391 0.0192 0.0815 0.0514 0.0009 0.0078 building 0.0151 0.9652 0.0052 0.0134 0.0000 0.0011 low_veg 0.0620 0.0165 0.8060 0.1117 0.0002 0.0037 tree 0.0463 0.0130 0.1476 0.7887 0.0027 0.0017 car 0.1623 0.0227 0.0092 0.0185 0.7768 0.0106 clutter 0.3106 0.1353 0.3737 0.1137 0.0175 0.0492 Precision/Correctness 0.851 0.946 0.740 0.810 0.897 0.201 Recall/Completeness 0.839 0.965 0.806 0.789 0.777 0.049 F1 0.845 0.955 0.772 0.799 0.833 0.079 Overall accuracy 0.837 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 0.7659 0.0416 0.1029 0.0659 0.0036 0.0202 building 0.0197 0.9540 0.0091 0.0156 0.0007 0.0011 low_veg 0.0648 0.0137 0.7811 0.1334 0.0005 0.0066 tree 0.0385 0.0151 0.2947 0.6476 0.0027 0.0014 car 0.2321 0.0532 0.0174 0.0337 0.6581 0.0056 clutter 0.3462 0.1180 0.1890 0.1358 0.0260 0.1850 Precision/Correctness 0.781 0.911 0.667 0.743 0.757 0.456 Recall/Completeness 0.766 0.954 0.781 0.648 0.658 0.185 F1 0.774 0.932 0.720 0.692 0.704 0.263 Overall accuracy 0.762 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 0.7947 0.0356 0.0897 0.0587 0.0011 0.0203 building 0.0155 0.9651 0.0044 0.0135 0.0006 0.0009 low_veg 0.0542 0.0090 0.8079 0.1226 0.0003 0.0060 tree 0.0340 0.0137 0.2867 0.6619 0.0025 0.0012 car 0.1504 0.0552 0.0127 0.0293 0.7467 0.0058 clutter 0.3463 0.1049 0.1608 0.1353 0.0264 0.2264 Precision/Correctness 0.815 0.931 0.685 0.771 0.801 0.476 Recall/Completeness 0.795 0.965 0.808 0.662 0.747 0.226 F1 0.805 0.948 0.741 0.712 0.773 0.307 Overall accuracy 0.787 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 0.9000 0.0247 0.0328 0.0395 0.0026 0.0005 building 0.0272 0.9438 0.0097 0.0180 0.0002 0.0011 low_veg 0.1448 0.0326 0.6428 0.1785 0.0010 0.0003 tree 0.1148 0.0107 0.1079 0.7622 0.0039 0.0005 car 0.3203 0.0272 0.0117 0.0350 0.6033 0.0025 clutter 0.5309 0.1079 0.2065 0.1017 0.0201 0.0328 Precision/Correctness 0.757 0.936 0.694 0.655 0.821 0.765 Recall/Completeness 0.900 0.944 0.643 0.762 0.603 0.033 F1 0.822 0.940 0.667 0.704 0.695 0.063 Overall accuracy 0.794 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 0.9181 0.0205 0.0268 0.0331 0.0011 0.0004 building 0.0200 0.9579 0.0048 0.0161 0.0002 0.0010 low_veg 0.1316 0.0269 0.6700 0.1706 0.0007 0.0003 tree 0.1004 0.0089 0.0991 0.7879 0.0034 0.0003 car 0.2318 0.0282 0.0083 0.0285 0.7001 0.0031 clutter 0.5534 0.0935 0.1953 0.0985 0.0215 0.0379 Precision/Correctness 0.786 0.951 0.730 0.686 0.848 0.790 Recall/Completeness 0.918 0.958 0.670 0.788 0.700 0.038 F1 0.847 0.954 0.698 0.733 0.767 0.072 Overall accuracy 0.823 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 0.8787 0.0157 0.0651 0.0223 0.0038 0.0144 building 0.0246 0.9552 0.0061 0.0105 0.0010 0.0026 low_veg 0.1924 0.0159 0.6736 0.1057 0.0010 0.0114 tree 0.1083 0.0132 0.1791 0.6924 0.0045 0.0025 car 0.2692 0.0164 0.0075 0.0197 0.6721 0.0153 clutter 0.6237 0.0695 0.1375 0.0258 0.0060 0.1376 Precision/Correctness 0.620 0.917 0.703 0.788 0.844 0.641 Recall/Completeness 0.879 0.955 0.674 0.692 0.672 0.138 F1 0.727 0.936 0.688 0.737 0.748 0.227 Overall accuracy 0.733 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 0.8944 0.0117 0.0604 0.0182 0.0011 0.0142 building 0.0180 0.9661 0.0038 0.0087 0.0009 0.0024 low_veg 0.1764 0.0110 0.7030 0.0982 0.0004 0.0111 tree 0.0972 0.0118 0.1673 0.7175 0.0040 0.0022 car 0.1851 0.0170 0.0048 0.0169 0.7602 0.0159 clutter 0.6415 0.0680 0.1196 0.0224 0.0049 0.1436 Precision/Correctness 0.635 0.932 0.725 0.815 0.887 0.665 Recall/Completeness 0.894 0.966 0.703 0.717 0.760 0.144 F1 0.742 0.949 0.714 0.763 0.819 0.236 Overall accuracy 0.755 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 0.9083 0.0257 0.0431 0.0167 0.0036 0.0026 building 0.0194 0.9505 0.0071 0.0221 0.0001 0.0007 low_veg 0.1650 0.0283 0.7188 0.0845 0.0015 0.0020 tree 0.2154 0.0146 0.1752 0.5820 0.0114 0.0014 car 0.2826 0.0063 0.0073 0.0195 0.6740 0.0103 clutter 0.3027 0.2080 0.3673 0.0414 0.0371 0.0434 Precision/Correctness 0.803 0.932 0.701 0.727 0.798 0.404 Recall/Completeness 0.908 0.951 0.719 0.582 0.674 0.043 F1 0.852 0.941 0.710 0.646 0.731 0.078 Overall accuracy 0.818 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 0.9233 0.0217 0.0378 0.0134 0.0014 0.0025 building 0.0131 0.9612 0.0044 0.0206 0.0001 0.0006 low_veg 0.1406 0.0210 0.7582 0.0778 0.0009 0.0015 tree 0.2018 0.0130 0.1613 0.6124 0.0102 0.0013 car 0.1849 0.0062 0.0041 0.0156 0.7786 0.0107 clutter 0.2740 0.2117 0.3912 0.0371 0.0356 0.0504 Precision/Correctness 0.836 0.947 0.728 0.759 0.841 0.424 Recall/Completeness 0.923 0.961 0.758 0.612 0.779 0.050 F1 0.878 0.954 0.743 0.678 0.809 0.090 Overall accuracy 0.846 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 0.8793 0.0231 0.0658 0.0261 0.0024 0.0033 building 0.0278 0.9553 0.0100 0.0053 0.0003 0.0014 low_veg 0.0513 0.0131 0.8609 0.0727 0.0003 0.0018 tree 0.1368 0.0095 0.2335 0.6157 0.0045 0.0000 car 0.2384 0.0047 0.0042 0.0042 0.7328 0.0156 clutter 0.3516 0.2265 0.2616 0.0324 0.0503 0.0776 Precision/Correctness 0.849 0.935 0.726 0.751 0.859 0.529 Recall/Completeness 0.879 0.955 0.861 0.616 0.733 0.078 F1 0.864 0.945 0.788 0.677 0.791 0.135 Overall accuracy 0.835 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 0.8972 0.0181 0.0583 0.0230 0.0007 0.0027 building 0.0238 0.9636 0.0067 0.0044 0.0002 0.0014 low_veg 0.0451 0.0090 0.8786 0.0662 0.0001 0.0010 tree 0.1234 0.0075 0.2213 0.6437 0.0041 0.0000 car 0.1332 0.0050 0.0032 0.0035 0.8384 0.0166 clutter 0.3418 0.2179 0.2582 0.0325 0.0610 0.0887 Precision/Correctness 0.877 0.953 0.754 0.776 0.885 0.544 Recall/Completeness 0.897 0.964 0.879 0.644 0.838 0.089 F1 0.887 0.958 0.812 0.704 0.861 0.152 Overall accuracy 0.861 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 0.9064 0.0097 0.0343 0.0420 0.0024 0.0051 building 0.0268 0.9570 0.0073 0.0069 0.0003 0.0017 low_veg 0.1047 0.0116 0.7742 0.0993 0.0002 0.0100 tree 0.1295 0.0104 0.2337 0.6168 0.0062 0.0034 car 0.2926 0.0046 0.0129 0.0380 0.6317 0.0202 clutter 0.2957 0.1582 0.3306 0.0465 0.0135 0.1554 Precision/Correctness 0.756 0.928 0.676 0.741 0.812 0.704 Recall/Completeness 0.906 0.957 0.774 0.617 0.632 0.155 F1 0.824 0.942 0.722 0.673 0.711 0.255 Overall accuracy 0.779 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 0.9230 0.0073 0.0267 0.0373 0.0008 0.0049 building 0.0233 0.9644 0.0044 0.0059 0.0003 0.0018 low_veg 0.0860 0.0084 0.7998 0.0959 0.0000 0.0099 tree 0.1182 0.0092 0.2289 0.6351 0.0056 0.0030 car 0.1960 0.0049 0.0099 0.0382 0.7304 0.0207 clutter 0.2849 0.1350 0.3420 0.0443 0.0146 0.1791 Precision/Correctness 0.785 0.946 0.693 0.766 0.838 0.722 Recall/Completeness 0.923 0.964 0.800 0.635 0.730 0.179 F1 0.849 0.955 0.742 0.694 0.780 0.287 Overall accuracy 0.803 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 0.9103 0.0077 0.0475 0.0287 0.0022 0.0037 building 0.0370 0.9218 0.0099 0.0288 0.0006 0.0019 low_veg 0.1267 0.0137 0.7175 0.1239 0.0005 0.0177 tree 0.1138 0.0122 0.2065 0.6608 0.0039 0.0028 car 0.3425 0.0054 0.0072 0.0199 0.6147 0.0102 clutter 0.4562 0.0973 0.1830 0.0320 0.0131 0.2183 Precision/Correctness 0.817 0.944 0.637 0.663 0.868 0.751 Recall/Completeness 0.910 0.922 0.718 0.661 0.615 0.218 F1 0.861 0.933 0.675 0.662 0.720 0.338 Overall accuracy 0.801 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 0.9242 0.0049 0.0426 0.0243 0.0008 0.0032 building 0.0282 0.9359 0.0074 0.0263 0.0005 0.0016 low_veg 0.1009 0.0106 0.7520 0.1184 0.0003 0.0177 tree 0.1034 0.0108 0.2001 0.6794 0.0036 0.0027 car 0.2390 0.0059 0.0037 0.0191 0.7216 0.0106 clutter 0.4663 0.0700 0.1783 0.0281 0.0129 0.2444 Precision/Correctness 0.844 0.962 0.657 0.693 0.897 0.773 Recall/Completeness 0.924 0.936 0.752 0.679 0.722 0.244 F1 0.882 0.949 0.701 0.686 0.800 0.371 Overall accuracy 0.826 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 0.8864 0.0303 0.0587 0.0192 0.0024 0.0029 building 0.0378 0.9133 0.0273 0.0200 0.0007 0.0009 low_veg 0.0266 0.0083 0.9369 0.0277 0.0001 0.0005 tree 0.1647 0.0054 0.2451 0.5820 0.0025 0.0002 car 0.2454 0.0450 0.0018 0.0071 0.5938 0.1070 clutter 0.3862 0.0427 0.4570 0.0363 0.0332 0.0446 Precision/Correctness 0.879 0.934 0.767 0.781 0.776 0.249 Recall/Completeness 0.886 0.913 0.937 0.582 0.594 0.045 F1 0.883 0.924 0.844 0.667 0.673 0.076 Overall accuracy 0.848 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 0.9023 0.0271 0.0511 0.0160 0.0015 0.0021 building 0.0327 0.9251 0.0213 0.0195 0.0007 0.0007 low_veg 0.0168 0.0055 0.9538 0.0236 0.0000 0.0003 tree 0.1466 0.0042 0.2369 0.6099 0.0023 0.0001 car 0.1564 0.0572 0.0005 0.0065 0.6670 0.1123 clutter 0.3736 0.0359 0.4731 0.0378 0.0323 0.0473 Precision/Correctness 0.901 0.946 0.788 0.804 0.809 0.282 Recall/Completeness 0.902 0.925 0.954 0.610 0.667 0.047 F1 0.902 0.935 0.863 0.694 0.731 0.081 Overall accuracy 0.868 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 0.9104 0.0087 0.0472 0.0267 0.0041 0.0029 building 0.0564 0.9029 0.0179 0.0149 0.0005 0.0074 low_veg 0.0755 0.0086 0.8239 0.0912 0.0007 0.0002 tree 0.0910 0.0095 0.1897 0.6993 0.0087 0.0018 car 0.2556 0.0049 0.0251 0.0175 0.6851 0.0117 clutter 0.3804 0.1088 0.2837 0.1606 0.0254 0.0411 Precision/Correctness 0.868 0.970 0.721 0.666 0.869 0.195 Recall/Completeness 0.910 0.903 0.824 0.699 0.685 0.041 F1 0.889 0.935 0.769 0.682 0.766 0.068 Overall accuracy 0.847 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 0.9276 0.0051 0.0401 0.0232 0.0011 0.0028 building 0.0510 0.9144 0.0133 0.0137 0.0003 0.0073 low_veg 0.0561 0.0051 0.8549 0.0836 0.0002 0.0001 tree 0.0807 0.0087 0.1788 0.7224 0.0078 0.0016 car 0.1654 0.0045 0.0208 0.0150 0.7807 0.0136 clutter 0.3765 0.1186 0.2702 0.1674 0.0242 0.0431 Precision/Correctness 0.893 0.979 0.747 0.696 0.916 0.186 Recall/Completeness 0.928 0.914 0.855 0.722 0.781 0.043 F1 0.910 0.946 0.798 0.709 0.843 0.070 Overall accuracy 0.871 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 0.9120 0.0060 0.0489 0.0226 0.0049 0.0055 building 0.0422 0.9211 0.0138 0.0184 0.0010 0.0035 low_veg 0.1221 0.0060 0.7820 0.0846 0.0011 0.0042 tree 0.0762 0.0118 0.2545 0.6467 0.0085 0.0022 car 0.2277 0.0080 0.0084 0.0155 0.7300 0.0104 clutter 0.2416 0.0068 0.3403 0.0180 0.0268 0.3665 Precision/Correctness 0.849 0.974 0.587 0.789 0.812 0.840 Recall/Completeness 0.912 0.921 0.782 0.647 0.730 0.366 F1 0.879 0.947 0.670 0.711 0.769 0.510 Overall accuracy 0.816 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 0.9284 0.0039 0.0415 0.0194 0.0016 0.0052 building 0.0340 0.9358 0.0085 0.0173 0.0009 0.0035 low_veg 0.0974 0.0041 0.8160 0.0787 0.0003 0.0035 tree 0.0667 0.0111 0.2398 0.6727 0.0076 0.0021 car 0.1402 0.0095 0.0039 0.0136 0.8219 0.0107 clutter 0.2301 0.0053 0.3357 0.0153 0.0247 0.3889 Precision/Correctness 0.877 0.981 0.603 0.815 0.853 0.856 Recall/Completeness 0.928 0.936 0.816 0.673 0.822 0.389 F1 0.902 0.958 0.694 0.737 0.837 0.535 Overall accuracy 0.840 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 0.8997 0.0289 0.0301 0.0341 0.0025 0.0048 building 0.0299 0.8921 0.0100 0.0462 0.0006 0.0212 low_veg 0.0619 0.0202 0.8189 0.0952 0.0005 0.0033 tree 0.0623 0.0146 0.2302 0.6872 0.0025 0.0032 car 0.2620 0.0163 0.0081 0.0160 0.6924 0.0051 clutter 0.2352 0.0208 0.4926 0.0119 0.0063 0.2331 Precision/Correctness 0.913 0.911 0.509 0.584 0.814 0.731 Recall/Completeness 0.900 0.892 0.819 0.687 0.692 0.233 F1 0.906 0.901 0.628 0.631 0.748 0.353 Overall accuracy 0.811 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 0.9122 0.0262 0.0259 0.0298 0.0012 0.0047 building 0.0255 0.8991 0.0079 0.0459 0.0004 0.0211 low_veg 0.0451 0.0182 0.8451 0.0883 0.0002 0.0032 tree 0.0432 0.0139 0.2216 0.7169 0.0018 0.0026 car 0.1734 0.0178 0.0066 0.0130 0.7835 0.0056 clutter 0.2247 0.0198 0.5013 0.0108 0.0056 0.2377 Precision/Correctness 0.927 0.920 0.513 0.600 0.859 0.739 Recall/Completeness 0.912 0.899 0.845 0.717 0.783 0.238 F1 0.920 0.910 0.638 0.653 0.819 0.360 Overall accuracy 0.825 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image