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 0.933 0.014 0.036 0.015 0.002 0.000 building 0.018 0.972 0.007 0.003 0.000 0.000 low_veg 0.038 0.008 0.903 0.051 0.000 0.000 tree 0.033 0.005 0.134 0.825 0.002 0.000 car 0.072 0.005 0.002 0.013 0.907 0.000 clutter 0.418 0.143 0.386 0.028 0.025 0.000 Precision/Correctness 0.884 0.944 0.780 0.889 0.884 -nan Recall/Completeness 0.933 0.972 0.903 0.825 0.907 0.000 F1 0.908 0.958 0.837 0.855 0.896 -nan Overall accuracy 0.874	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 0.951 0.010 0.028 0.010 0.000 0.000 building 0.014 0.979 0.004 0.002 0.000 0.000 low_veg 0.027 0.004 0.925 0.043 0.000 0.000 tree 0.024 0.004 0.117 0.853 0.002 0.000 car 0.009 0.005 0.001 0.008 0.976 0.000 clutter 0.424 0.131 0.395 0.025 0.026 0.000 Precision/Correctness 0.905 0.959 0.803 0.913 0.910 -nan Recall/Completeness 0.951 0.979 0.925 0.853 0.976 0.000 F1 0.928 0.969 0.860 0.882 0.942 -nan Overall accuracy 0.896
============================================================= Tile top_potsdam_2_13_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.9073 0.0202 0.0615 0.0086 0.0025 0.0000 building 0.0138 0.9671 0.0162 0.0030 0.0000 0.0000 low_veg 0.0291 0.0097 0.9324 0.0286 0.0002 0.0000 tree 0.0380 0.0115 0.1504 0.7983 0.0018 0.0000 car 0.0752 0.0157 0.0038 0.0066 0.8987 0.0000 clutter 0.3036 0.3134 0.2827 0.0258 0.0744 0.0000 Precision/Correctness 0.892 0.914 0.828 0.940 0.805 -nan Recall/Completeness 0.907 0.967 0.932 0.798 0.899 0.000 F1 0.900 0.940 0.877 0.863 0.849 -nan Overall accuracy 0.883 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 0.9284 0.0145 0.0518 0.0049 0.0004 0.0000 building 0.0106 0.9753 0.0119 0.0022 0.0000 0.0000 low_veg 0.0220 0.0058 0.9514 0.0207 0.0001 0.0000 tree 0.0287 0.0094 0.1263 0.8343 0.0013 0.0000 car 0.0185 0.0181 0.0020 0.0022 0.9591 0.0000 clutter 0.2937 0.3423 0.2539 0.0182 0.0918 0.0000 Precision/Correctness 0.920 0.937 0.857 0.960 0.838 -nan Recall/Completeness 0.928 0.975 0.951 0.834 0.959 0.000 F1 0.924 0.956 0.902 0.893 0.894 -nan Overall accuracy 0.909 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 0.9105 0.0085 0.0722 0.0076 0.0013 0.0000 building 0.0024 0.9868 0.0083 0.0026 0.0000 0.0000 low_veg 0.0118 0.0038 0.9653 0.0190 0.0000 0.0000 tree 0.0197 0.0044 0.2180 0.7571 0.0009 0.0000 car 0.0610 0.0019 0.0024 0.0079 0.9267 0.0000 clutter 0.1558 0.3920 0.3235 0.0406 0.0881 0.0000 Precision/Correctness 0.915 0.921 0.815 0.966 0.869 -nan Recall/Completeness 0.911 0.987 0.965 0.757 0.927 0.000 F1 0.913 0.953 0.884 0.849 0.897 -nan Overall accuracy 0.881 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 0.9396 0.0052 0.0509 0.0042 0.0000 0.0000 building 0.0006 0.9943 0.0035 0.0016 0.0000 0.0000 low_veg 0.0075 0.0018 0.9761 0.0146 0.0000 0.0000 tree 0.0153 0.0034 0.1988 0.7819 0.0006 0.0000 car 0.0058 0.0006 0.0001 0.0039 0.9896 0.0000 clutter 0.0951 0.4785 0.2862 0.0413 0.0990 0.0000 Precision/Correctness 0.940 0.946 0.835 0.976 0.908 -nan Recall/Completeness 0.940 0.994 0.976 0.782 0.990 0.000 F1 0.940 0.969 0.900 0.868 0.947 -nan Overall accuracy 0.900 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 0.9087 0.0210 0.0518 0.0157 0.0028 0.0000 building 0.0065 0.9840 0.0069 0.0027 0.0000 0.0000 low_veg 0.0480 0.0178 0.8933 0.0408 0.0002 0.0000 tree 0.0280 0.0068 0.1066 0.8561 0.0024 0.0000 car 0.0699 0.0084 0.0009 0.0132 0.9077 0.0000 clutter 0.4026 0.2021 0.3534 0.0216 0.0204 0.0000 Precision/Correctness 0.884 0.939 0.812 0.930 0.897 -nan Recall/Completeness 0.909 0.984 0.893 0.856 0.908 0.000 F1 0.896 0.961 0.851 0.892 0.902 -nan Overall accuracy 0.890 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 0.9348 0.0138 0.0417 0.0095 0.0001 0.0000 building 0.0043 0.9905 0.0036 0.0017 0.0000 0.0000 low_veg 0.0372 0.0088 0.9230 0.0310 0.0000 0.0000 tree 0.0196 0.0052 0.0875 0.8861 0.0017 0.0000 car 0.0084 0.0095 0.0002 0.0075 0.9744 0.0000 clutter 0.4356 0.2067 0.3172 0.0162 0.0243 0.0000 Precision/Correctness 0.913 0.960 0.846 0.953 0.938 -nan Recall/Completeness 0.935 0.990 0.923 0.886 0.974 0.000 F1 0.924 0.975 0.883 0.919 0.956 -nan Overall accuracy 0.918 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 0.9001 0.0199 0.0604 0.0168 0.0028 0.0000 building 0.0101 0.9829 0.0048 0.0023 0.0000 0.0000 low_veg 0.0234 0.0092 0.9379 0.0294 0.0001 0.0000 tree 0.0202 0.0043 0.2091 0.7650 0.0014 0.0000 car 0.0660 0.0073 0.0011 0.0235 0.9022 0.0000 clutter 0.2694 0.2283 0.3474 0.1429 0.0121 0.0000 Precision/Correctness 0.893 0.936 0.765 0.922 0.889 -nan Recall/Completeness 0.900 0.983 0.938 0.765 0.902 0.000 F1 0.896 0.959 0.842 0.836 0.896 -nan Overall accuracy 0.867 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 0.9289 0.0141 0.0458 0.0110 0.0002 0.0000 building 0.0080 0.9891 0.0014 0.0014 0.0000 0.0000 low_veg 0.0142 0.0042 0.9604 0.0213 0.0000 0.0000 tree 0.0149 0.0032 0.1904 0.7904 0.0012 0.0000 car 0.0100 0.0083 0.0001 0.0148 0.9669 0.0000 clutter 0.2613 0.2316 0.3273 0.1663 0.0135 0.0000 Precision/Correctness 0.922 0.954 0.790 0.943 0.930 -nan Recall/Completeness 0.929 0.989 0.960 0.790 0.967 0.000 F1 0.925 0.971 0.867 0.860 0.948 -nan Overall accuracy 0.891 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 0.9419 0.0071 0.0285 0.0213 0.0012 0.0000 building 0.0154 0.9723 0.0085 0.0037 0.0001 0.0000 low_veg 0.0453 0.0057 0.8604 0.0886 0.0001 0.0000 tree 0.0267 0.0018 0.0519 0.9180 0.0017 0.0000 car 0.0758 0.0003 0.0015 0.0232 0.8992 0.0000 clutter 0.6099 0.1103 0.1929 0.0675 0.0193 0.0000 Precision/Correctness 0.831 0.968 0.800 0.821 0.910 -nan Recall/Completeness 0.942 0.972 0.860 0.918 0.899 0.000 F1 0.883 0.970 0.829 0.867 0.905 -nan Overall accuracy 0.872 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 0.9592 0.0040 0.0217 0.0149 0.0003 0.0000 building 0.0105 0.9835 0.0036 0.0024 0.0001 0.0000 low_veg 0.0342 0.0013 0.8862 0.0783 0.0000 0.0000 tree 0.0153 0.0008 0.0373 0.9455 0.0010 0.0000 car 0.0052 0.0000 0.0001 0.0145 0.9802 0.0000 clutter 0.6493 0.0984 0.1718 0.0591 0.0214 0.0000 Precision/Correctness 0.854 0.979 0.842 0.857 0.919 -nan Recall/Completeness 0.959 0.983 0.886 0.946 0.980 0.000 F1 0.903 0.981 0.864 0.899 0.949 -nan Overall accuracy 0.898 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 0.9003 0.0187 0.0649 0.0131 0.0030 0.0000 building 0.0165 0.9724 0.0053 0.0054 0.0004 0.0000 low_veg 0.0752 0.0125 0.8471 0.0649 0.0003 0.0000 tree 0.0290 0.0049 0.1351 0.8287 0.0023 0.0000 car 0.0675 0.0066 0.0019 0.0211 0.9029 0.0000 clutter 0.5086 0.0569 0.4154 0.0147 0.0044 0.0000 Precision/Correctness 0.746 0.932 0.698 0.880 0.920 -nan Recall/Completeness 0.900 0.972 0.847 0.829 0.903 0.000 F1 0.816 0.952 0.765 0.854 0.911 -nan Overall accuracy 0.800 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 0.9172 0.0139 0.0604 0.0082 0.0003 0.0000 building 0.0132 0.9797 0.0025 0.0042 0.0004 0.0000 low_veg 0.0635 0.0074 0.8703 0.0586 0.0001 0.0000 tree 0.0204 0.0036 0.1143 0.8600 0.0017 0.0000 car 0.0188 0.0066 0.0014 0.0145 0.9587 0.0000 clutter 0.5205 0.0531 0.4107 0.0120 0.0037 0.0000 Precision/Correctness 0.758 0.948 0.712 0.903 0.954 -nan Recall/Completeness 0.917 0.980 0.870 0.860 0.959 0.000 F1 0.830 0.964 0.783 0.881 0.956 -nan Overall accuracy 0.817 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 0.9349 0.0246 0.0331 0.0054 0.0021 0.0000 building 0.0093 0.9823 0.0061 0.0023 0.0001 0.0000 low_veg 0.0570 0.0160 0.8976 0.0290 0.0004 0.0000 tree 0.0627 0.0055 0.1287 0.7968 0.0062 0.0000 car 0.0798 0.0104 0.0016 0.0068 0.9015 0.0000 clutter 0.4352 0.2627 0.2496 0.0178 0.0348 0.0000 Precision/Correctness 0.902 0.940 0.799 0.928 0.891 -nan Recall/Completeness 0.935 0.982 0.898 0.797 0.901 0.000 F1 0.918 0.961 0.846 0.857 0.896 -nan Overall accuracy 0.898 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 0.9497 0.0194 0.0276 0.0032 0.0002 0.0000 building 0.0067 0.9884 0.0033 0.0016 0.0001 0.0000 low_veg 0.0365 0.0083 0.9316 0.0236 0.0000 0.0000 tree 0.0454 0.0039 0.1051 0.8412 0.0045 0.0000 car 0.0103 0.0119 0.0002 0.0027 0.9749 0.0000 clutter 0.4443 0.2693 0.2350 0.0143 0.0372 0.0000 Precision/Correctness 0.930 0.955 0.832 0.950 0.923 -nan Recall/Completeness 0.950 0.988 0.932 0.841 0.975 0.000 F1 0.940 0.972 0.879 0.892 0.948 -nan Overall accuracy 0.923 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 0.9367 0.0105 0.0314 0.0200 0.0014 0.0000 building 0.0123 0.9801 0.0046 0.0031 0.0000 0.0000 low_veg 0.0529 0.0098 0.8698 0.0675 0.0000 0.0000 tree 0.0469 0.0041 0.1039 0.8427 0.0025 0.0000 car 0.0887 0.0038 0.0008 0.0085 0.8982 0.0000 clutter 0.3602 0.2983 0.2454 0.0156 0.0805 0.0000 Precision/Correctness 0.904 0.947 0.837 0.831 0.872 -nan Recall/Completeness 0.937 0.980 0.870 0.843 0.898 0.000 F1 0.920 0.963 0.853 0.837 0.885 -nan Overall accuracy 0.893 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image	============================================================= Tile top_potsdam_5_13_class.tif, reference set: no_boundary ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.9541 0.0055 0.0259 0.0144 0.0001 0.0000 building 0.0084 0.9866 0.0027 0.0024 0.0000 0.0000 low_veg 0.0459 0.0054 0.8900 0.0587 0.0000 0.0000 tree 0.0313 0.0024 0.0889 0.8754 0.0020 0.0000 car 0.0092 0.0044 0.0001 0.0054 0.9809 0.0000 clutter 0.3337 0.3052 0.2466 0.0139 0.1005 0.0000 Precision/Correctness 0.931 0.964 0.866 0.861 0.882 -nan Recall/Completeness 0.954 0.987 0.890 0.875 0.981 0.000 F1 0.942 0.975 0.878 0.868 0.929 -nan Overall accuracy 0.918 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 0.9438 0.0064 0.0249 0.0237 0.0011 0.0000 building 0.0070 0.9864 0.0048 0.0017 0.0001 0.0000 low_veg 0.0499 0.0087 0.8613 0.0798 0.0002 0.0000 tree 0.0431 0.0050 0.0805 0.8683 0.0031 0.0000 car 0.0912 0.0109 0.0037 0.0149 0.8793 0.0000 clutter 0.3312 0.2186 0.3907 0.0369 0.0226 0.0000 Precision/Correctness 0.846 0.922 0.777 0.852 0.870 -nan Recall/Completeness 0.944 0.986 0.861 0.868 0.879 0.000 F1 0.892 0.953 0.817 0.860 0.875 -nan Overall accuracy 0.852 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 0.9614 0.0037 0.0172 0.0175 0.0002 0.0000 building 0.0053 0.9912 0.0023 0.0012 0.0000 0.0000 low_veg 0.0358 0.0058 0.8843 0.0741 0.0000 0.0000 tree 0.0324 0.0038 0.0701 0.8914 0.0023 0.0000 car 0.0098 0.0122 0.0014 0.0084 0.9682 0.0000 clutter 0.3298 0.1983 0.4128 0.0343 0.0248 0.0000 Precision/Correctness 0.874 0.941 0.798 0.876 0.879 -nan Recall/Completeness 0.961 0.991 0.884 0.891 0.968 0.000 F1 0.916 0.965 0.839 0.883 0.921 -nan 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_15_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.9157 0.0227 0.0424 0.0180 0.0013 0.0000 building 0.0129 0.9746 0.0080 0.0043 0.0003 0.0000 low_veg 0.0428 0.0050 0.8441 0.1079 0.0001 0.0000 tree 0.0296 0.0045 0.0695 0.8943 0.0021 0.0000 car 0.0965 0.0030 0.0029 0.0132 0.8844 0.0000 clutter 0.4088 0.1555 0.4072 0.0134 0.0151 0.0000 Precision/Correctness 0.893 0.919 0.685 0.806 0.924 -nan Recall/Completeness 0.916 0.975 0.844 0.894 0.884 0.000 F1 0.904 0.946 0.756 0.848 0.904 -nan Overall accuracy 0.853 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 0.9305 0.0190 0.0367 0.0133 0.0005 0.0000 building 0.0089 0.9820 0.0058 0.0031 0.0002 0.0000 low_veg 0.0294 0.0020 0.8679 0.1006 0.0001 0.0000 tree 0.0199 0.0025 0.0584 0.9177 0.0015 0.0000 car 0.0127 0.0032 0.0004 0.0105 0.9733 0.0000 clutter 0.4187 0.1248 0.4295 0.0112 0.0157 0.0000 Precision/Correctness 0.912 0.939 0.700 0.836 0.934 -nan Recall/Completeness 0.931 0.982 0.868 0.918 0.973 0.000 F1 0.921 0.960 0.775 0.875 0.953 -nan Overall accuracy 0.874 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 0.9579 0.0080 0.0199 0.0130 0.0012 0.0000 building 0.0366 0.9432 0.0189 0.0008 0.0005 0.0000 low_veg 0.0146 0.0035 0.9533 0.0285 0.0000 0.0000 tree 0.0597 0.0024 0.0730 0.8637 0.0012 0.0000 car 0.0662 0.0000 0.0008 0.0040 0.9290 0.0000 clutter 0.5015 0.0513 0.3962 0.0235 0.0275 0.0000 Precision/Correctness 0.922 0.978 0.887 0.893 0.897 -nan Recall/Completeness 0.958 0.943 0.953 0.864 0.929 0.000 F1 0.940 0.960 0.919 0.878 0.913 -nan Overall accuracy 0.922 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 0.9723 0.0056 0.0143 0.0077 0.0001 0.0000 building 0.0318 0.9535 0.0138 0.0004 0.0005 0.0000 low_veg 0.0081 0.0019 0.9670 0.0229 0.0000 0.0000 tree 0.0409 0.0014 0.0596 0.8971 0.0009 0.0000 car 0.0050 0.0000 0.0005 0.0017 0.9928 0.0000 clutter 0.4920 0.0490 0.4086 0.0217 0.0287 0.0000 Precision/Correctness 0.940 0.985 0.908 0.922 0.927 -nan Recall/Completeness 0.972 0.954 0.967 0.897 0.993 0.000 F1 0.956 0.969 0.936 0.909 0.959 -nan Overall accuracy 0.940 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 0.9542 0.0130 0.0199 0.0094 0.0035 0.0000 building 0.0369 0.9570 0.0051 0.0008 0.0002 0.0000 low_veg 0.0395 0.0078 0.8928 0.0594 0.0004 0.0000 tree 0.0404 0.0097 0.0688 0.8763 0.0048 0.0000 car 0.0519 0.0028 0.0018 0.0079 0.9356 0.0000 clutter 0.3824 0.3436 0.2309 0.0158 0.0273 0.0000 Precision/Correctness 0.922 0.950 0.866 0.859 0.919 -nan Recall/Completeness 0.954 0.957 0.893 0.876 0.936 0.000 F1 0.938 0.953 0.879 0.867 0.927 -nan Overall accuracy 0.915 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 0.9693 0.0093 0.0147 0.0064 0.0002 0.0000 building 0.0332 0.9644 0.0020 0.0004 0.0001 0.0000 low_veg 0.0239 0.0034 0.9202 0.0524 0.0000 0.0000 tree 0.0287 0.0083 0.0555 0.9039 0.0036 0.0000 car 0.0038 0.0021 0.0005 0.0045 0.9892 0.0000 clutter 0.3684 0.3810 0.2118 0.0119 0.0269 0.0000 Precision/Correctness 0.940 0.959 0.895 0.887 0.961 -nan Recall/Completeness 0.969 0.964 0.920 0.904 0.989 0.000 F1 0.954 0.962 0.907 0.896 0.975 -nan Overall accuracy 0.935 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 0.9434 0.0072 0.0366 0.0088 0.0040 0.0000 building 0.0124 0.9790 0.0060 0.0025 0.0001 0.0000 low_veg 0.0337 0.0016 0.9189 0.0446 0.0011 0.0000 tree 0.0369 0.0044 0.1490 0.8051 0.0046 0.0000 car 0.0582 0.0005 0.0048 0.0128 0.9237 0.0000 clutter 0.3728 0.0680 0.5143 0.0092 0.0357 0.0000 Precision/Correctness 0.904 0.967 0.663 0.916 0.861 -nan Recall/Completeness 0.943 0.979 0.919 0.805 0.924 0.000 F1 0.923 0.973 0.770 0.857 0.891 -nan Overall accuracy 0.870 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 0.9613 0.0046 0.0284 0.0055 0.0002 0.0000 building 0.0077 0.9887 0.0019 0.0017 0.0000 0.0000 low_veg 0.0193 0.0001 0.9439 0.0367 0.0001 0.0000 tree 0.0271 0.0030 0.1304 0.8359 0.0036 0.0000 car 0.0085 0.0001 0.0006 0.0095 0.9813 0.0000 clutter 0.3725 0.0692 0.5160 0.0073 0.0351 0.0000 Precision/Correctness 0.921 0.974 0.680 0.940 0.899 -nan Recall/Completeness 0.961 0.989 0.944 0.836 0.981 0.000 F1 0.941 0.981 0.790 0.885 0.939 -nan Overall accuracy 0.889 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 0.9525 0.0124 0.0096 0.0236 0.0020 0.0000 building 0.0464 0.9454 0.0048 0.0032 0.0002 0.0000 low_veg 0.0490 0.0065 0.7920 0.1523 0.0002 0.0000 tree 0.0240 0.0025 0.0926 0.8798 0.0011 0.0000 car 0.0511 0.0053 0.0008 0.0208 0.9220 0.0000 clutter 0.3764 0.0236 0.5713 0.0024 0.0263 0.0000 Precision/Correctness 0.901 0.958 0.553 0.707 0.783 -nan Recall/Completeness 0.952 0.945 0.792 0.880 0.922 0.000 F1 0.926 0.952 0.651 0.784 0.847 -nan Overall accuracy 0.843 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 0.9666 0.0090 0.0067 0.0168 0.0008 0.0000 building 0.0430 0.9509 0.0036 0.0023 0.0002 0.0000 low_veg 0.0375 0.0026 0.8148 0.1450 0.0000 0.0000 tree 0.0155 0.0013 0.0845 0.8982 0.0007 0.0000 car 0.0042 0.0054 0.0001 0.0132 0.9771 0.0000 clutter 0.3679 0.0223 0.5826 0.0019 0.0252 0.0000 Precision/Correctness 0.909 0.969 0.551 0.739 0.789 -nan Recall/Completeness 0.967 0.951 0.815 0.898 0.977 0.000 F1 0.937 0.960 0.657 0.811 0.873 -nan Overall accuracy 0.855 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image