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 0.881 0.045 0.043 0.022 0.004 0.004 building 0.053 0.913 0.020 0.009 0.001 0.004 low_veg 0.055 0.018 0.835 0.086 0.001 0.005 tree 0.048 0.006 0.162 0.779 0.003 0.002 car 0.109 0.030 0.006 0.020 0.832 0.004 clutter 0.318 0.168 0.203 0.065 0.013 0.234 Precision/Correctness 0.849 0.889 0.761 0.813 0.860 0.740 Recall/Completeness 0.881 0.913 0.835 0.779 0.832 0.234 F1 0.865 0.901 0.796 0.796 0.846 0.356 Overall accuracy 0.831	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 0.904 0.040 0.035 0.017 0.001 0.004 building 0.050 0.920 0.018 0.007 0.001 0.003 low_veg 0.043 0.012 0.863 0.077 0.000 0.004 tree 0.039 0.004 0.147 0.805 0.002 0.002 car 0.039 0.031 0.003 0.014 0.909 0.004 clutter 0.323 0.150 0.195 0.062 0.012 0.258 Precision/Correctness 0.870 0.910 0.785 0.840 0.907 0.764 Recall/Completeness 0.904 0.920 0.863 0.805 0.909 0.258 F1 0.887 0.915 0.822 0.822 0.908 0.385 Overall accuracy 0.855
============================================================= Tile top_potsdam_2_13_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.8690 0.0558 0.0424 0.0203 0.0033 0.0092 building 0.0344 0.9023 0.0273 0.0303 0.0020 0.0038 low_veg 0.0581 0.0177 0.8338 0.0739 0.0003 0.0161 tree 0.0499 0.0093 0.1654 0.7686 0.0018 0.0049 car 0.1285 0.0445 0.0078 0.0149 0.7975 0.0067 clutter 0.1542 0.3019 0.1486 0.0625 0.0385 0.2944 Precision/Correctness 0.842 0.858 0.816 0.839 0.792 0.385 Recall/Completeness 0.869 0.902 0.834 0.769 0.798 0.294 F1 0.855 0.879 0.825 0.802 0.795 0.334 Overall accuracy 0.829 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 0.8960 0.0478 0.0327 0.0147 0.0007 0.0081 building 0.0307 0.9106 0.0246 0.0292 0.0019 0.0031 low_veg 0.0503 0.0111 0.8597 0.0631 0.0001 0.0157 tree 0.0420 0.0078 0.1448 0.7996 0.0013 0.0044 car 0.0642 0.0478 0.0057 0.0113 0.8635 0.0075 clutter 0.1224 0.3088 0.1178 0.0536 0.0431 0.3542 Precision/Correctness 0.868 0.889 0.844 0.865 0.846 0.375 Recall/Completeness 0.896 0.911 0.860 0.800 0.863 0.354 F1 0.882 0.900 0.852 0.831 0.855 0.364 Overall accuracy 0.857 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 0.8698 0.0339 0.0757 0.0167 0.0027 0.0011 building 0.0148 0.9537 0.0162 0.0118 0.0014 0.0021 low_veg 0.0224 0.0089 0.9256 0.0404 0.0002 0.0026 tree 0.0270 0.0037 0.2264 0.7408 0.0009 0.0012 car 0.0893 0.0694 0.0063 0.0146 0.8149 0.0055 clutter 0.1424 0.2832 0.2264 0.0921 0.0533 0.2026 Precision/Correctness 0.865 0.850 0.803 0.928 0.816 0.284 Recall/Completeness 0.870 0.954 0.926 0.741 0.815 0.203 F1 0.867 0.899 0.860 0.824 0.816 0.236 Overall accuracy 0.850 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 0.9023 0.0294 0.0561 0.0111 0.0005 0.0007 building 0.0128 0.9642 0.0116 0.0088 0.0011 0.0016 low_veg 0.0163 0.0062 0.9419 0.0331 0.0001 0.0024 tree 0.0231 0.0030 0.2113 0.7609 0.0007 0.0011 car 0.0317 0.0785 0.0035 0.0091 0.8722 0.0052 clutter 0.1248 0.2985 0.1874 0.1073 0.0569 0.2252 Precision/Correctness 0.891 0.880 0.820 0.944 0.878 0.257 Recall/Completeness 0.902 0.964 0.942 0.761 0.872 0.225 F1 0.897 0.920 0.877 0.843 0.875 0.240 Overall accuracy 0.870 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 0.8709 0.0375 0.0567 0.0267 0.0043 0.0040 building 0.0289 0.9513 0.0097 0.0063 0.0008 0.0030 low_veg 0.0622 0.0306 0.8201 0.0831 0.0003 0.0036 tree 0.0372 0.0072 0.1333 0.8178 0.0032 0.0012 car 0.1322 0.0213 0.0038 0.0245 0.8169 0.0013 clutter 0.3163 0.2133 0.2651 0.0629 0.0195 0.1230 Precision/Correctness 0.846 0.909 0.779 0.865 0.847 0.503 Recall/Completeness 0.871 0.951 0.820 0.818 0.817 0.123 F1 0.858 0.930 0.799 0.841 0.832 0.198 Overall accuracy 0.848 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 0.9016 0.0290 0.0455 0.0194 0.0008 0.0035 building 0.0256 0.9593 0.0070 0.0049 0.0007 0.0024 low_veg 0.0507 0.0189 0.8554 0.0722 0.0002 0.0026 tree 0.0299 0.0060 0.1172 0.8432 0.0027 0.0011 car 0.0518 0.0245 0.0017 0.0180 0.9032 0.0009 clutter 0.3342 0.2098 0.2346 0.0588 0.0237 0.1389 Precision/Correctness 0.876 0.936 0.810 0.894 0.893 0.521 Recall/Completeness 0.902 0.959 0.855 0.843 0.903 0.139 F1 0.888 0.947 0.832 0.868 0.898 0.219 Overall accuracy 0.878 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 0.8418 0.0592 0.0653 0.0255 0.0045 0.0038 building 0.0209 0.9567 0.0145 0.0052 0.0009 0.0019 low_veg 0.0363 0.0229 0.8814 0.0576 0.0002 0.0016 tree 0.0336 0.0061 0.2319 0.7231 0.0018 0.0035 car 0.0987 0.0410 0.0050 0.0354 0.8135 0.0064 clutter 0.2408 0.2560 0.1729 0.0692 0.0119 0.2492 Precision/Correctness 0.849 0.881 0.744 0.883 0.829 0.741 Recall/Completeness 0.842 0.957 0.881 0.723 0.813 0.249 F1 0.845 0.917 0.807 0.795 0.821 0.373 Overall accuracy 0.829 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 0.8755 0.0507 0.0512 0.0182 0.0009 0.0035 building 0.0186 0.9631 0.0121 0.0040 0.0008 0.0015 low_veg 0.0257 0.0152 0.9113 0.0467 0.0000 0.0011 tree 0.0286 0.0050 0.2172 0.7445 0.0016 0.0031 car 0.0353 0.0435 0.0029 0.0261 0.8861 0.0063 clutter 0.2364 0.2492 0.1397 0.0628 0.0125 0.2995 Precision/Correctness 0.878 0.907 0.766 0.912 0.883 0.774 Recall/Completeness 0.876 0.963 0.911 0.744 0.886 0.299 F1 0.877 0.934 0.833 0.820 0.884 0.432 Overall accuracy 0.856 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 0.9017 0.0338 0.0349 0.0253 0.0028 0.0014 building 0.0435 0.9338 0.0124 0.0081 0.0006 0.0016 low_veg 0.0637 0.0216 0.7913 0.1210 0.0003 0.0021 tree 0.0477 0.0038 0.0844 0.8615 0.0019 0.0008 car 0.1347 0.0135 0.0074 0.0319 0.8112 0.0013 clutter 0.5051 0.1618 0.1805 0.1003 0.0096 0.0428 Precision/Correctness 0.803 0.925 0.752 0.757 0.900 0.676 Recall/Completeness 0.902 0.934 0.791 0.861 0.811 0.043 F1 0.850 0.930 0.771 0.806 0.853 0.080 Overall accuracy 0.831 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 0.9252 0.0270 0.0272 0.0190 0.0005 0.0011 building 0.0393 0.9428 0.0093 0.0066 0.0005 0.0014 low_veg 0.0487 0.0125 0.8254 0.1115 0.0001 0.0018 tree 0.0355 0.0024 0.0702 0.8899 0.0013 0.0007 car 0.0513 0.0124 0.0029 0.0223 0.9099 0.0012 clutter 0.5376 0.1427 0.1678 0.0963 0.0101 0.0455 Precision/Correctness 0.827 0.945 0.789 0.791 0.934 0.703 Recall/Completeness 0.925 0.943 0.825 0.890 0.910 0.045 F1 0.874 0.944 0.807 0.838 0.922 0.085 Overall accuracy 0.859 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 0.8607 0.0348 0.0687 0.0213 0.0057 0.0087 building 0.0282 0.9548 0.0074 0.0065 0.0009 0.0022 low_veg 0.0973 0.0250 0.7383 0.1297 0.0007 0.0090 tree 0.0447 0.0068 0.1524 0.7891 0.0029 0.0041 car 0.0937 0.0300 0.0065 0.0278 0.8328 0.0091 clutter 0.4991 0.0917 0.2086 0.0280 0.0029 0.1697 Precision/Correctness 0.714 0.883 0.712 0.788 0.878 0.747 Recall/Completeness 0.861 0.955 0.738 0.789 0.833 0.170 F1 0.780 0.917 0.725 0.789 0.855 0.277 Overall accuracy 0.769 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 0.8833 0.0287 0.0620 0.0166 0.0011 0.0082 building 0.0250 0.9619 0.0054 0.0051 0.0008 0.0018 low_veg 0.0828 0.0177 0.7660 0.1249 0.0003 0.0083 tree 0.0361 0.0055 0.1356 0.8166 0.0023 0.0039 car 0.0391 0.0309 0.0035 0.0206 0.8971 0.0087 clutter 0.5152 0.0861 0.1985 0.0234 0.0024 0.1744 Precision/Correctness 0.728 0.904 0.733 0.811 0.934 0.771 Recall/Completeness 0.883 0.962 0.766 0.817 0.897 0.174 F1 0.798 0.932 0.749 0.814 0.915 0.284 Overall accuracy 0.790 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 0.8699 0.0581 0.0534 0.0122 0.0033 0.0030 building 0.1135 0.8392 0.0280 0.0069 0.0027 0.0097 low_veg 0.0682 0.0313 0.8339 0.0627 0.0009 0.0030 tree 0.0877 0.0078 0.1765 0.7171 0.0065 0.0044 car 0.1150 0.0480 0.0073 0.0103 0.8164 0.0030 clutter 0.2774 0.2860 0.2081 0.0575 0.0156 0.1553 Precision/Correctness 0.813 0.880 0.710 0.833 0.851 0.464 Recall/Completeness 0.870 0.839 0.834 0.717 0.816 0.155 F1 0.840 0.859 0.767 0.771 0.833 0.233 Overall accuracy 0.813 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 0.8895 0.0518 0.0464 0.0093 0.0006 0.0023 building 0.1119 0.8441 0.0260 0.0060 0.0026 0.0095 low_veg 0.0469 0.0211 0.8745 0.0554 0.0004 0.0017 tree 0.0734 0.0062 0.1563 0.7545 0.0053 0.0042 car 0.0374 0.0528 0.0018 0.0047 0.9002 0.0030 clutter 0.2765 0.2886 0.1982 0.0543 0.0159 0.1665 Precision/Correctness 0.835 0.902 0.736 0.863 0.888 0.458 Recall/Completeness 0.890 0.844 0.874 0.755 0.900 0.167 F1 0.861 0.872 0.799 0.805 0.894 0.244 Overall accuracy 0.838 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 0.8764 0.0417 0.0455 0.0306 0.0031 0.0027 building 0.0272 0.9516 0.0136 0.0060 0.0002 0.0013 low_veg 0.0526 0.0208 0.8093 0.1127 0.0014 0.0032 tree 0.0594 0.0054 0.1287 0.8017 0.0029 0.0021 car 0.1242 0.0350 0.0018 0.0101 0.8251 0.0038 clutter 0.2223 0.4092 0.1654 0.0571 0.0179 0.1282 Precision/Correctness 0.892 0.893 0.793 0.736 0.902 0.650 Recall/Completeness 0.876 0.952 0.809 0.802 0.825 0.128 F1 0.884 0.921 0.801 0.768 0.862 0.214 Overall accuracy 0.850 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 0.8994 0.0339 0.0398 0.0247 0.0005 0.0017 building 0.0246 0.9568 0.0121 0.0051 0.0002 0.0012 low_veg 0.0477 0.0144 0.8303 0.1039 0.0013 0.0023 tree 0.0450 0.0038 0.1155 0.8314 0.0024 0.0019 car 0.0443 0.0373 0.0007 0.0067 0.9072 0.0037 clutter 0.1944 0.4296 0.1549 0.0602 0.0203 0.1405 Precision/Correctness 0.915 0.916 0.820 0.764 0.938 0.679 Recall/Completeness 0.899 0.957 0.830 0.831 0.907 0.141 F1 0.907 0.936 0.825 0.796 0.922 0.233 Overall accuracy 0.876 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image
============================================================= Tile top_potsdam_5_14_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.8950 0.0297 0.0399 0.0264 0.0031 0.0059 building 0.0307 0.9531 0.0085 0.0050 0.0011 0.0016 low_veg 0.0772 0.0162 0.7911 0.1108 0.0008 0.0039 tree 0.0668 0.0068 0.1031 0.8163 0.0047 0.0024 car 0.1192 0.0258 0.0144 0.0212 0.8146 0.0048 clutter 0.1990 0.2296 0.2025 0.1106 0.0137 0.2445 Precision/Correctness 0.821 0.888 0.780 0.782 0.837 0.845 Recall/Completeness 0.895 0.953 0.791 0.816 0.815 0.245 F1 0.856 0.920 0.786 0.799 0.826 0.379 Overall accuracy 0.824 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 0.9174 0.0250 0.0310 0.0208 0.0006 0.0052 building 0.0290 0.9580 0.0062 0.0044 0.0010 0.0014 low_veg 0.0615 0.0107 0.8194 0.1048 0.0003 0.0033 tree 0.0561 0.0056 0.0937 0.8385 0.0039 0.0021 car 0.0398 0.0248 0.0112 0.0155 0.9036 0.0050 clutter 0.1886 0.2012 0.2008 0.1167 0.0135 0.2791 Precision/Correctness 0.849 0.914 0.806 0.805 0.874 0.866 Recall/Completeness 0.917 0.958 0.819 0.839 0.904 0.279 F1 0.882 0.935 0.812 0.821 0.888 0.422 Overall accuracy 0.850 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 0.8655 0.0510 0.0485 0.0261 0.0030 0.0059 building 0.0481 0.9125 0.0246 0.0116 0.0011 0.0021 low_veg 0.0637 0.0130 0.7841 0.1320 0.0003 0.0069 tree 0.0460 0.0038 0.1048 0.8415 0.0029 0.0009 car 0.1366 0.0214 0.0056 0.0170 0.8182 0.0011 clutter 0.2589 0.1679 0.2481 0.0408 0.0153 0.2691 Precision/Correctness 0.878 0.866 0.670 0.734 0.881 0.825 Recall/Completeness 0.866 0.913 0.784 0.842 0.818 0.269 F1 0.872 0.889 0.723 0.784 0.848 0.406 Overall accuracy 0.820 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 0.8824 0.0478 0.0419 0.0217 0.0007 0.0056 building 0.0431 0.9223 0.0221 0.0099 0.0010 0.0017 low_veg 0.0426 0.0072 0.8165 0.1269 0.0001 0.0068 tree 0.0360 0.0026 0.0943 0.8639 0.0025 0.0007 car 0.0562 0.0244 0.0020 0.0136 0.9026 0.0012 clutter 0.2586 0.1329 0.2530 0.0387 0.0156 0.3012 Precision/Correctness 0.901 0.889 0.692 0.761 0.912 0.842 Recall/Completeness 0.882 0.922 0.817 0.864 0.903 0.301 F1 0.891 0.905 0.749 0.809 0.907 0.444 Overall accuracy 0.844 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 0.9141 0.0395 0.0252 0.0172 0.0022 0.0019 building 0.0664 0.8941 0.0311 0.0042 0.0015 0.0028 low_veg 0.0287 0.0107 0.9115 0.0487 0.0001 0.0004 tree 0.0990 0.0024 0.1195 0.7766 0.0018 0.0006 car 0.0844 0.0711 0.0013 0.0054 0.8347 0.0031 clutter 0.4944 0.0894 0.2324 0.0607 0.0067 0.1164 Precision/Correctness 0.883 0.913 0.857 0.820 0.866 0.601 Recall/Completeness 0.914 0.894 0.911 0.777 0.835 0.116 F1 0.898 0.904 0.883 0.798 0.850 0.195 Overall accuracy 0.875 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 0.9332 0.0345 0.0184 0.0121 0.0005 0.0012 building 0.0634 0.9005 0.0288 0.0035 0.0013 0.0025 low_veg 0.0197 0.0058 0.9319 0.0424 0.0001 0.0002 tree 0.0808 0.0016 0.1088 0.8069 0.0014 0.0005 car 0.0202 0.0763 0.0007 0.0038 0.8960 0.0030 clutter 0.5134 0.0814 0.2287 0.0584 0.0055 0.1125 Precision/Correctness 0.900 0.930 0.877 0.850 0.920 0.629 Recall/Completeness 0.933 0.901 0.932 0.807 0.896 0.112 F1 0.916 0.915 0.903 0.828 0.908 0.191 Overall accuracy 0.895 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 0.9162 0.0332 0.0287 0.0144 0.0060 0.0015 building 0.0614 0.9052 0.0155 0.0117 0.0019 0.0044 low_veg 0.0747 0.0199 0.8171 0.0862 0.0008 0.0013 tree 0.0660 0.0051 0.1048 0.8173 0.0058 0.0011 car 0.0924 0.0123 0.0028 0.0172 0.8733 0.0021 clutter 0.3263 0.2893 0.2111 0.0609 0.0265 0.0859 Precision/Correctness 0.885 0.920 0.803 0.761 0.868 0.469 Recall/Completeness 0.916 0.905 0.817 0.817 0.873 0.086 F1 0.900 0.913 0.810 0.788 0.871 0.145 Overall accuracy 0.867 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 0.9361 0.0280 0.0226 0.0112 0.0008 0.0012 building 0.0576 0.9122 0.0133 0.0111 0.0016 0.0042 low_veg 0.0558 0.0110 0.8535 0.0789 0.0001 0.0007 tree 0.0552 0.0037 0.0932 0.8420 0.0048 0.0011 car 0.0309 0.0105 0.0011 0.0128 0.9425 0.0022 clutter 0.3190 0.3096 0.2004 0.0573 0.0257 0.0879 Precision/Correctness 0.904 0.936 0.830 0.790 0.928 0.472 Recall/Completeness 0.936 0.912 0.853 0.842 0.942 0.088 F1 0.920 0.924 0.841 0.815 0.935 0.148 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_15_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.8678 0.0489 0.0516 0.0192 0.0068 0.0057 building 0.0339 0.8891 0.0670 0.0072 0.0012 0.0016 low_veg 0.0599 0.0090 0.8484 0.0735 0.0012 0.0080 tree 0.0388 0.0040 0.2255 0.7244 0.0048 0.0025 car 0.0774 0.0184 0.0081 0.0164 0.8722 0.0075 clutter 0.1594 0.1008 0.2774 0.0630 0.0147 0.3846 Precision/Correctness 0.904 0.884 0.592 0.824 0.851 0.842 Recall/Completeness 0.868 0.889 0.848 0.724 0.872 0.385 F1 0.886 0.887 0.697 0.771 0.861 0.528 Overall accuracy 0.819 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 0.8916 0.0452 0.0421 0.0151 0.0014 0.0047 building 0.0303 0.8962 0.0650 0.0062 0.0010 0.0013 low_veg 0.0433 0.0047 0.8775 0.0668 0.0002 0.0074 tree 0.0313 0.0027 0.2087 0.7512 0.0039 0.0022 car 0.0208 0.0180 0.0029 0.0107 0.9394 0.0083 clutter 0.1534 0.0997 0.2687 0.0618 0.0143 0.4021 Precision/Correctness 0.924 0.898 0.605 0.851 0.912 0.867 Recall/Completeness 0.892 0.896 0.878 0.751 0.939 0.402 F1 0.907 0.897 0.716 0.798 0.925 0.549 Overall accuracy 0.841 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 0.8853 0.0633 0.0123 0.0300 0.0024 0.0067 building 0.1517 0.8205 0.0064 0.0062 0.0019 0.0132 low_veg 0.0663 0.0148 0.7031 0.2128 0.0007 0.0024 tree 0.0266 0.0047 0.1075 0.8600 0.0008 0.0003 car 0.0800 0.0344 0.0029 0.0327 0.8445 0.0056 clutter 0.2996 0.0378 0.1351 0.0655 0.0068 0.4553 Precision/Correctness 0.861 0.832 0.716 0.603 0.829 0.862 Recall/Completeness 0.885 0.821 0.703 0.860 0.844 0.455 F1 0.873 0.826 0.710 0.709 0.837 0.596 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 0.9011 0.0599 0.0094 0.0226 0.0006 0.0063 building 0.1516 0.8229 0.0058 0.0050 0.0018 0.0129 low_veg 0.0512 0.0100 0.7329 0.2038 0.0002 0.0019 tree 0.0178 0.0030 0.1023 0.8761 0.0005 0.0002 car 0.0236 0.0388 0.0017 0.0231 0.9074 0.0054 clutter 0.2936 0.0338 0.1363 0.0655 0.0060 0.4648 Precision/Correctness 0.869 0.845 0.730 0.626 0.879 0.870 Recall/Completeness 0.901 0.823 0.733 0.876 0.907 0.465 F1 0.885 0.834 0.731 0.730 0.893 0.606 Overall accuracy 0.825 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image