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 0.910 0.019 0.039 0.018 0.003 0.011 building 0.015 0.968 0.007 0.003 0.000 0.006 low_veg 0.042 0.011 0.868 0.067 0.000 0.012 tree 0.037 0.006 0.126 0.824 0.003 0.003 car 0.079 0.012 0.003 0.011 0.887 0.008 clutter 0.274 0.126 0.149 0.026 0.006 0.418 Precision/Correctness 0.897 0.938 0.811 0.864 0.913 0.702 Recall/Completeness 0.910 0.968 0.868 0.824 0.887 0.418 F1 0.903 0.952 0.839 0.844 0.900 0.524 Overall accuracy 0.877	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 0.930 0.015 0.032 0.013 0.000 0.010 building 0.012 0.975 0.005 0.003 0.000 0.005 low_veg 0.031 0.006 0.894 0.058 0.000 0.011 tree 0.028 0.005 0.112 0.851 0.002 0.003 car 0.017 0.013 0.001 0.007 0.952 0.009 clutter 0.272 0.111 0.136 0.022 0.006 0.453 Precision/Correctness 0.919 0.954 0.836 0.891 0.952 0.726 Recall/Completeness 0.930 0.975 0.894 0.851 0.952 0.453 F1 0.924 0.965 0.864 0.871 0.952 0.558 Overall accuracy 0.900
============================================================= Tile top_potsdam_2_13_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.8987 0.0210 0.0566 0.0116 0.0022 0.0099 building 0.0134 0.9579 0.0153 0.0080 0.0011 0.0044 low_veg 0.0363 0.0098 0.8991 0.0381 0.0002 0.0165 tree 0.0433 0.0135 0.1812 0.7555 0.0018 0.0047 car 0.1112 0.0255 0.0022 0.0057 0.8370 0.0183 clutter 0.1808 0.2109 0.1523 0.0239 0.0117 0.4203 Precision/Correctness 0.886 0.919 0.815 0.915 0.872 0.459 Recall/Completeness 0.899 0.958 0.899 0.756 0.837 0.420 F1 0.893 0.938 0.855 0.827 0.854 0.439 Overall accuracy 0.866 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 0.9211 0.0151 0.0479 0.0076 0.0003 0.0080 building 0.0091 0.9679 0.0117 0.0070 0.0010 0.0033 low_veg 0.0288 0.0054 0.9206 0.0295 0.0001 0.0155 tree 0.0341 0.0118 0.1576 0.7912 0.0013 0.0041 car 0.0499 0.0302 0.0006 0.0022 0.8956 0.0215 clutter 0.1450 0.2108 0.1199 0.0178 0.0140 0.4925 Precision/Correctness 0.915 0.942 0.842 0.937 0.913 0.454 Recall/Completeness 0.921 0.968 0.921 0.791 0.896 0.492 F1 0.918 0.955 0.879 0.858 0.904 0.473 Overall accuracy 0.893 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 0.8677 0.0096 0.0933 0.0201 0.0016 0.0077 building 0.0082 0.9695 0.0092 0.0080 0.0001 0.0050 low_veg 0.0125 0.0032 0.9343 0.0478 0.0000 0.0022 tree 0.0125 0.0027 0.1609 0.8225 0.0009 0.0006 car 0.0804 0.0159 0.0025 0.0118 0.8813 0.0080 clutter 0.0748 0.3146 0.1916 0.0729 0.0112 0.3349 Precision/Correctness 0.925 0.930 0.841 0.925 0.897 0.308 Recall/Completeness 0.868 0.969 0.934 0.822 0.881 0.335 F1 0.895 0.949 0.885 0.871 0.889 0.321 Overall accuracy 0.884 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 0.9003 0.0063 0.0725 0.0136 0.0001 0.0071 building 0.0047 0.9820 0.0041 0.0053 0.0001 0.0039 low_veg 0.0080 0.0014 0.9501 0.0388 0.0000 0.0017 tree 0.0091 0.0021 0.1457 0.8421 0.0006 0.0004 car 0.0211 0.0200 0.0001 0.0071 0.9412 0.0104 clutter 0.0400 0.3683 0.1595 0.0674 0.0140 0.3507 Precision/Correctness 0.949 0.954 0.860 0.942 0.942 0.284 Recall/Completeness 0.900 0.982 0.950 0.842 0.941 0.351 F1 0.924 0.968 0.903 0.889 0.942 0.314 Overall accuracy 0.904 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 0.8900 0.0254 0.0524 0.0174 0.0025 0.0124 building 0.0129 0.9743 0.0062 0.0036 0.0000 0.0030 low_veg 0.0601 0.0218 0.8495 0.0598 0.0001 0.0087 tree 0.0352 0.0070 0.1078 0.8450 0.0023 0.0026 car 0.0890 0.0206 0.0011 0.0159 0.8711 0.0023 clutter 0.2890 0.1819 0.2774 0.0302 0.0062 0.2152 Precision/Correctness 0.869 0.931 0.809 0.907 0.919 0.439 Recall/Completeness 0.890 0.974 0.849 0.845 0.871 0.215 F1 0.880 0.952 0.829 0.875 0.894 0.289 Overall accuracy 0.875 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 0.9151 0.0184 0.0438 0.0111 0.0001 0.0115 building 0.0100 0.9818 0.0037 0.0024 0.0000 0.0021 low_veg 0.0481 0.0115 0.8845 0.0487 0.0000 0.0071 tree 0.0264 0.0054 0.0910 0.8732 0.0018 0.0022 car 0.0147 0.0234 0.0003 0.0101 0.9486 0.0027 clutter 0.2977 0.1808 0.2545 0.0226 0.0073 0.2371 Precision/Correctness 0.900 0.955 0.839 0.933 0.958 0.439 Recall/Completeness 0.915 0.982 0.884 0.873 0.949 0.237 F1 0.908 0.968 0.861 0.902 0.953 0.308 Overall accuracy 0.904 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 0.8710 0.0237 0.0698 0.0210 0.0028 0.0117 building 0.0097 0.9787 0.0048 0.0040 0.0000 0.0028 low_veg 0.0340 0.0128 0.8992 0.0496 0.0000 0.0044 tree 0.0266 0.0061 0.1976 0.7645 0.0013 0.0039 car 0.0888 0.0096 0.0027 0.0290 0.8636 0.0064 clutter 0.2266 0.2056 0.1768 0.0320 0.0047 0.3543 Precision/Correctness 0.875 0.929 0.772 0.908 0.904 0.667 Recall/Completeness 0.871 0.979 0.899 0.764 0.864 0.354 F1 0.873 0.953 0.831 0.830 0.883 0.463 Overall accuracy 0.859 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image	============================================================= Tile top_potsdam_3_14_class.tif, reference set: no_boundary ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.9005 0.0166 0.0574 0.0147 0.0003 0.0104 building 0.0073 0.9856 0.0020 0.0030 0.0000 0.0021 low_veg 0.0229 0.0070 0.9276 0.0394 0.0000 0.0031 tree 0.0211 0.0050 0.1815 0.7881 0.0011 0.0033 car 0.0233 0.0101 0.0013 0.0201 0.9377 0.0075 clutter 0.2168 0.2009 0.1427 0.0256 0.0056 0.4084 Precision/Correctness 0.907 0.950 0.795 0.932 0.947 0.703 Recall/Completeness 0.900 0.986 0.928 0.788 0.938 0.408 F1 0.904 0.968 0.856 0.854 0.942 0.517 Overall accuracy 0.886 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 0.9242 0.0130 0.0362 0.0222 0.0018 0.0026 building 0.0117 0.9735 0.0069 0.0053 0.0002 0.0024 low_veg 0.0434 0.0085 0.8243 0.1209 0.0003 0.0026 tree 0.0330 0.0026 0.0431 0.9180 0.0027 0.0006 car 0.0649 0.0018 0.0032 0.0149 0.9131 0.0022 clutter 0.4769 0.1247 0.1842 0.0755 0.0097 0.1290 Precision/Correctness 0.853 0.959 0.792 0.789 0.925 0.807 Recall/Completeness 0.924 0.973 0.824 0.918 0.913 0.129 F1 0.887 0.966 0.808 0.849 0.919 0.222 Overall accuracy 0.871 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 0.9426 0.0095 0.0299 0.0159 0.0001 0.0020 building 0.0071 0.9834 0.0034 0.0040 0.0001 0.0019 low_veg 0.0336 0.0032 0.8504 0.1106 0.0000 0.0022 tree 0.0211 0.0013 0.0303 0.9452 0.0018 0.0003 car 0.0074 0.0012 0.0010 0.0087 0.9793 0.0024 clutter 0.4986 0.1108 0.1755 0.0680 0.0103 0.1368 Precision/Correctness 0.877 0.971 0.826 0.823 0.950 0.833 Recall/Completeness 0.943 0.983 0.850 0.945 0.979 0.137 F1 0.908 0.977 0.838 0.880 0.964 0.235 Overall accuracy 0.896 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 0.8895 0.0217 0.0579 0.0164 0.0040 0.0105 building 0.0148 0.9698 0.0058 0.0050 0.0005 0.0040 low_veg 0.0693 0.0155 0.8266 0.0650 0.0003 0.0233 tree 0.0317 0.0052 0.1339 0.8214 0.0026 0.0052 car 0.0677 0.0138 0.0012 0.0154 0.8928 0.0091 clutter 0.4193 0.0639 0.1504 0.0175 0.0011 0.3478 Precision/Correctness 0.769 0.921 0.772 0.874 0.920 0.775 Recall/Completeness 0.890 0.970 0.827 0.821 0.893 0.348 F1 0.825 0.945 0.798 0.847 0.906 0.480 Overall accuracy 0.825 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 0.9078 0.0167 0.0542 0.0116 0.0004 0.0093 building 0.0118 0.9767 0.0039 0.0038 0.0004 0.0033 low_veg 0.0572 0.0099 0.8539 0.0559 0.0000 0.0231 tree 0.0230 0.0038 0.1170 0.8500 0.0019 0.0043 car 0.0237 0.0143 0.0002 0.0104 0.9425 0.0090 clutter 0.4304 0.0604 0.1390 0.0140 0.0008 0.3554 Precision/Correctness 0.783 0.939 0.791 0.900 0.965 0.795 Recall/Completeness 0.908 0.977 0.854 0.850 0.942 0.355 F1 0.841 0.957 0.821 0.874 0.953 0.491 Overall accuracy 0.844 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 0.9039 0.0280 0.0423 0.0046 0.0032 0.0181 building 0.0087 0.9758 0.0085 0.0021 0.0002 0.0047 low_veg 0.0669 0.0234 0.8555 0.0379 0.0006 0.0158 tree 0.0935 0.0096 0.1315 0.7496 0.0085 0.0072 car 0.0945 0.0069 0.0028 0.0032 0.8747 0.0180 clutter 0.2015 0.1919 0.2362 0.0175 0.0088 0.3441 Precision/Correctness 0.901 0.937 0.775 0.914 0.889 0.462 Recall/Completeness 0.904 0.976 0.855 0.750 0.875 0.344 F1 0.903 0.956 0.813 0.824 0.882 0.394 Overall accuracy 0.882 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 0.9226 0.0208 0.0372 0.0029 0.0006 0.0160 building 0.0064 0.9816 0.0065 0.0016 0.0002 0.0037 low_veg 0.0444 0.0137 0.8973 0.0316 0.0001 0.0129 tree 0.0756 0.0076 0.1107 0.7932 0.0067 0.0062 car 0.0243 0.0071 0.0005 0.0010 0.9462 0.0209 clutter 0.1846 0.1891 0.2480 0.0142 0.0085 0.3556 Precision/Correctness 0.931 0.955 0.801 0.937 0.932 0.462 Recall/Completeness 0.923 0.982 0.897 0.793 0.946 0.356 F1 0.927 0.968 0.846 0.859 0.939 0.402 Overall accuracy 0.908 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 0.9128 0.0154 0.0337 0.0190 0.0023 0.0168 building 0.0129 0.9688 0.0059 0.0032 0.0000 0.0091 low_veg 0.0597 0.0105 0.8289 0.0843 0.0001 0.0166 tree 0.0594 0.0046 0.1026 0.8271 0.0035 0.0028 car 0.0907 0.0053 0.0011 0.0058 0.8844 0.0127 clutter 0.1962 0.2682 0.1373 0.0195 0.0242 0.3545 Precision/Correctness 0.907 0.944 0.841 0.809 0.918 0.487 Recall/Completeness 0.913 0.969 0.829 0.827 0.884 0.355 F1 0.910 0.956 0.835 0.818 0.901 0.410 Overall accuracy 0.883 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 0.9335 0.0093 0.0291 0.0141 0.0002 0.0138 building 0.0099 0.9753 0.0040 0.0025 0.0000 0.0082 low_veg 0.0535 0.0058 0.8518 0.0754 0.0000 0.0134 tree 0.0424 0.0030 0.0890 0.8604 0.0030 0.0022 car 0.0150 0.0059 0.0002 0.0035 0.9617 0.0137 clutter 0.1681 0.2624 0.1310 0.0169 0.0283 0.3934 Precision/Correctness 0.931 0.962 0.867 0.837 0.947 0.492 Recall/Completeness 0.933 0.975 0.852 0.860 0.962 0.393 F1 0.932 0.969 0.859 0.849 0.954 0.437 Overall accuracy 0.908 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 0.9227 0.0091 0.0259 0.0305 0.0021 0.0097 building 0.0133 0.9798 0.0037 0.0016 0.0001 0.0016 low_veg 0.0540 0.0114 0.8250 0.0923 0.0002 0.0170 tree 0.0429 0.0060 0.0783 0.8631 0.0042 0.0055 car 0.0837 0.0134 0.0112 0.0136 0.8607 0.0173 clutter 0.2294 0.2109 0.1268 0.0527 0.0041 0.3760 Precision/Correctness 0.859 0.918 0.845 0.826 0.910 0.781 Recall/Completeness 0.923 0.980 0.825 0.863 0.861 0.376 F1 0.890 0.948 0.835 0.844 0.885 0.508 Overall accuracy 0.864 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 0.9434 0.0060 0.0187 0.0232 0.0003 0.0084 building 0.0112 0.9846 0.0017 0.0011 0.0000 0.0013 low_veg 0.0396 0.0079 0.8511 0.0856 0.0000 0.0158 tree 0.0333 0.0050 0.0697 0.8838 0.0033 0.0049 car 0.0140 0.0143 0.0102 0.0082 0.9342 0.0192 clutter 0.2179 0.1870 0.1138 0.0519 0.0042 0.4252 Precision/Correctness 0.887 0.939 0.871 0.851 0.939 0.804 Recall/Completeness 0.943 0.985 0.851 0.884 0.934 0.425 F1 0.914 0.961 0.861 0.867 0.937 0.556 Overall accuracy 0.889 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 0.9078 0.0250 0.0404 0.0206 0.0015 0.0047 building 0.0139 0.9689 0.0053 0.0037 0.0004 0.0078 low_veg 0.0488 0.0127 0.7870 0.1298 0.0001 0.0216 tree 0.0355 0.0059 0.0750 0.8804 0.0024 0.0009 car 0.1210 0.0111 0.0029 0.0127 0.8477 0.0046 clutter 0.3180 0.1393 0.0964 0.0155 0.0019 0.4290 Precision/Correctness 0.901 0.914 0.773 0.778 0.951 0.808 Recall/Completeness 0.908 0.969 0.787 0.880 0.848 0.429 F1 0.904 0.941 0.780 0.826 0.897 0.561 Overall accuracy 0.867 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 0.9233 0.0207 0.0360 0.0157 0.0004 0.0039 building 0.0092 0.9770 0.0035 0.0026 0.0004 0.0073 low_veg 0.0313 0.0081 0.8163 0.1230 0.0000 0.0212 tree 0.0256 0.0039 0.0661 0.9019 0.0018 0.0007 car 0.0296 0.0124 0.0005 0.0107 0.9418 0.0050 clutter 0.3193 0.1031 0.0840 0.0132 0.0017 0.4787 Precision/Correctness 0.923 0.937 0.797 0.808 0.971 0.827 Recall/Completeness 0.923 0.977 0.816 0.902 0.942 0.479 F1 0.923 0.957 0.807 0.852 0.956 0.606 Overall accuracy 0.891 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 0.9200 0.0180 0.0298 0.0214 0.0019 0.0089 building 0.0288 0.9502 0.0159 0.0012 0.0001 0.0039 low_veg 0.0173 0.0029 0.9315 0.0469 0.0000 0.0015 tree 0.0565 0.0021 0.0616 0.8764 0.0013 0.0020 car 0.0554 0.0293 0.0008 0.0025 0.9049 0.0072 clutter 0.2112 0.0568 0.1953 0.0388 0.0056 0.4922 Precision/Correctness 0.938 0.961 0.893 0.838 0.916 0.671 Recall/Completeness 0.920 0.950 0.931 0.876 0.905 0.492 F1 0.929 0.956 0.912 0.857 0.910 0.568 Overall accuracy 0.916 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 0.9374 0.0153 0.0252 0.0146 0.0003 0.0073 building 0.0247 0.9603 0.0112 0.0006 0.0000 0.0032 low_veg 0.0098 0.0011 0.9491 0.0392 0.0000 0.0008 tree 0.0413 0.0012 0.0518 0.9033 0.0009 0.0015 car 0.0056 0.0373 0.0003 0.0009 0.9488 0.0071 clutter 0.1964 0.0574 0.1843 0.0359 0.0045 0.5215 Precision/Correctness 0.954 0.969 0.912 0.870 0.970 0.705 Recall/Completeness 0.937 0.960 0.949 0.903 0.949 0.522 F1 0.946 0.965 0.930 0.886 0.959 0.600 Overall accuracy 0.934 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 0.9431 0.0159 0.0241 0.0106 0.0041 0.0022 building 0.0249 0.9635 0.0085 0.0015 0.0002 0.0014 low_veg 0.0382 0.0101 0.8705 0.0719 0.0005 0.0087 tree 0.0451 0.0064 0.0787 0.8622 0.0069 0.0006 car 0.0491 0.0044 0.0023 0.0068 0.9351 0.0023 clutter 0.1734 0.2505 0.2177 0.0164 0.0180 0.3240 Precision/Correctness 0.941 0.953 0.845 0.834 0.912 0.732 Recall/Completeness 0.943 0.964 0.870 0.862 0.935 0.324 F1 0.942 0.958 0.858 0.848 0.923 0.449 Overall accuracy 0.916 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 0.9585 0.0127 0.0190 0.0078 0.0004 0.0016 building 0.0206 0.9712 0.0060 0.0011 0.0001 0.0010 low_veg 0.0252 0.0057 0.8954 0.0655 0.0000 0.0081 tree 0.0339 0.0049 0.0669 0.8881 0.0056 0.0005 car 0.0059 0.0032 0.0005 0.0039 0.9839 0.0026 clutter 0.1478 0.2713 0.2121 0.0130 0.0161 0.3397 Precision/Correctness 0.958 0.962 0.869 0.861 0.960 0.755 Recall/Completeness 0.959 0.971 0.895 0.888 0.984 0.340 F1 0.958 0.967 0.882 0.874 0.972 0.469 Overall accuracy 0.934 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 0.9172 0.0129 0.0335 0.0123 0.0051 0.0190 building 0.0118 0.9763 0.0047 0.0030 0.0000 0.0042 low_veg 0.0402 0.0039 0.8632 0.0567 0.0009 0.0351 tree 0.0347 0.0059 0.1301 0.8203 0.0041 0.0049 car 0.0572 0.0099 0.0044 0.0125 0.9104 0.0056 clutter 0.1171 0.0285 0.1444 0.0032 0.0092 0.6976 Precision/Correctness 0.938 0.964 0.750 0.899 0.895 0.745 Recall/Completeness 0.917 0.976 0.863 0.820 0.910 0.698 F1 0.928 0.970 0.803 0.858 0.903 0.720 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_15_class.tif, reference set: no_boundary ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.9380 0.0094 0.0264 0.0083 0.0005 0.0175 building 0.0075 0.9848 0.0020 0.0021 0.0000 0.0036 low_veg 0.0228 0.0008 0.8957 0.0463 0.0001 0.0342 tree 0.0262 0.0043 0.1135 0.8485 0.0031 0.0044 car 0.0085 0.0112 0.0007 0.0082 0.9654 0.0059 clutter 0.1087 0.0272 0.1341 0.0020 0.0094 0.7187 Precision/Correctness 0.958 0.975 0.776 0.927 0.951 0.765 Recall/Completeness 0.938 0.985 0.896 0.849 0.965 0.719 F1 0.948 0.980 0.832 0.886 0.958 0.741 Overall accuracy 0.917 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 0.9154 0.0262 0.0141 0.0244 0.0014 0.0185 building 0.0247 0.9366 0.0051 0.0030 0.0000 0.0306 low_veg 0.0491 0.0095 0.7730 0.1616 0.0002 0.0066 tree 0.0198 0.0055 0.1091 0.8605 0.0007 0.0044 car 0.0642 0.0279 0.0024 0.0175 0.8810 0.0070 clutter 0.2003 0.0251 0.0859 0.0017 0.0023 0.6848 Precision/Correctness 0.936 0.925 0.762 0.694 0.925 0.783 Recall/Completeness 0.915 0.937 0.773 0.861 0.881 0.685 F1 0.926 0.931 0.767 0.769 0.903 0.731 Overall accuracy 0.880 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 0.9301 0.0223 0.0116 0.0177 0.0002 0.0181 building 0.0226 0.9411 0.0040 0.0021 0.0000 0.0301 low_veg 0.0359 0.0058 0.8000 0.1523 0.0000 0.0060 tree 0.0096 0.0037 0.1032 0.8786 0.0003 0.0046 car 0.0092 0.0353 0.0010 0.0109 0.9368 0.0068 clutter 0.1928 0.0233 0.0847 0.0013 0.0020 0.6959 Precision/Correctness 0.945 0.937 0.777 0.726 0.969 0.791 Recall/Completeness 0.930 0.941 0.800 0.879 0.937 0.696 F1 0.937 0.939 0.788 0.795 0.953 0.740 Overall accuracy 0.895 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image