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 0.900 0.038 0.035 0.019 0.003 0.004 building 0.026 0.955 0.007 0.009 0.001 0.002 low_veg 0.065 0.036 0.810 0.085 0.000 0.004 tree 0.058 0.015 0.142 0.780 0.003 0.002 car 0.132 0.021 0.005 0.017 0.821 0.004 clutter 0.397 0.160 0.147 0.056 0.012 0.228 Precision/Correctness 0.848 0.884 0.795 0.821 0.879 0.770 Recall/Completeness 0.900 0.955 0.810 0.780 0.821 0.228 F1 0.873 0.918 0.802 0.800 0.849 0.352 Overall accuracy 0.841	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 0.922 0.032 0.028 0.015 0.001 0.003 building 0.024 0.960 0.006 0.008 0.000 0.002 low_veg 0.052 0.027 0.840 0.076 0.000 0.004 tree 0.048 0.013 0.129 0.805 0.002 0.002 car 0.053 0.023 0.002 0.012 0.906 0.004 clutter 0.407 0.140 0.137 0.052 0.011 0.253 Precision/Correctness 0.871 0.908 0.820 0.848 0.923 0.795 Recall/Completeness 0.922 0.960 0.840 0.805 0.906 0.253 F1 0.896 0.933 0.830 0.826 0.914 0.383 Overall accuracy 0.866
============================================================= Tile top_potsdam_2_13_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.9180 0.0330 0.0242 0.0136 0.0029 0.0084 building 0.0246 0.9236 0.0161 0.0318 0.0011 0.0027 low_veg 0.0980 0.0297 0.7921 0.0652 0.0003 0.0148 tree 0.0663 0.0164 0.1465 0.7646 0.0017 0.0046 car 0.1544 0.0339 0.0050 0.0103 0.7901 0.0063 clutter 0.3021 0.2308 0.1003 0.0476 0.0380 0.2810 Precision/Correctness 0.798 0.869 0.842 0.856 0.812 0.398 Recall/Completeness 0.918 0.924 0.792 0.765 0.790 0.281 F1 0.854 0.895 0.816 0.807 0.801 0.329 Overall accuracy 0.831 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 0.9415 0.0245 0.0169 0.0090 0.0006 0.0075 building 0.0202 0.9309 0.0150 0.0307 0.0010 0.0021 low_veg 0.0891 0.0221 0.8204 0.0539 0.0001 0.0144 tree 0.0572 0.0141 0.1271 0.7962 0.0013 0.0041 car 0.0813 0.0379 0.0033 0.0071 0.8632 0.0071 clutter 0.2712 0.2318 0.0751 0.0377 0.0430 0.3411 Precision/Correctness 0.825 0.901 0.868 0.881 0.864 0.389 Recall/Completeness 0.942 0.931 0.820 0.796 0.863 0.341 F1 0.880 0.916 0.844 0.837 0.864 0.364 Overall accuracy 0.859 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 0.9103 0.0178 0.0562 0.0124 0.0024 0.0008 building 0.0120 0.9638 0.0097 0.0122 0.0009 0.0014 low_veg 0.0426 0.0149 0.8987 0.0411 0.0002 0.0025 tree 0.0398 0.0166 0.1984 0.7431 0.0009 0.0011 car 0.1293 0.0397 0.0050 0.0116 0.8091 0.0052 clutter 0.3221 0.2337 0.1241 0.0809 0.0483 0.1910 Precision/Correctness 0.803 0.807 0.822 0.929 0.830 0.286 Recall/Completeness 0.910 0.964 0.899 0.743 0.809 0.191 F1 0.853 0.879 0.859 0.826 0.819 0.229 Overall accuracy 0.847 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 0.9362 0.0124 0.0429 0.0076 0.0004 0.0006 building 0.0088 0.9735 0.0070 0.0091 0.0007 0.0009 low_veg 0.0345 0.0117 0.9176 0.0336 0.0001 0.0024 tree 0.0354 0.0158 0.1837 0.7634 0.0007 0.0011 car 0.0693 0.0443 0.0025 0.0066 0.8724 0.0050 clutter 0.3055 0.2480 0.0846 0.0958 0.0504 0.2157 Precision/Correctness 0.828 0.837 0.838 0.945 0.889 0.260 Recall/Completeness 0.936 0.973 0.918 0.763 0.872 0.216 F1 0.879 0.900 0.876 0.845 0.881 0.236 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_13_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.8715 0.0494 0.0460 0.0257 0.0037 0.0037 building 0.0168 0.9712 0.0025 0.0070 0.0003 0.0022 low_veg 0.0589 0.0672 0.7764 0.0942 0.0003 0.0031 tree 0.0398 0.0162 0.1096 0.8303 0.0031 0.0011 car 0.1460 0.0201 0.0024 0.0229 0.8074 0.0011 clutter 0.3696 0.2264 0.2061 0.0634 0.0185 0.1160 Precision/Correctness 0.851 0.865 0.809 0.858 0.861 0.527 Recall/Completeness 0.871 0.971 0.776 0.830 0.807 0.116 F1 0.861 0.915 0.792 0.844 0.833 0.190 Overall accuracy 0.846 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 0.9021 0.0394 0.0360 0.0184 0.0007 0.0033 building 0.0142 0.9768 0.0015 0.0055 0.0003 0.0018 low_veg 0.0475 0.0534 0.8143 0.0825 0.0001 0.0022 tree 0.0323 0.0139 0.0949 0.8553 0.0026 0.0009 car 0.0587 0.0222 0.0010 0.0166 0.9008 0.0007 clutter 0.3931 0.2194 0.1754 0.0571 0.0224 0.1325 Precision/Correctness 0.882 0.896 0.840 0.886 0.904 0.550 Recall/Completeness 0.902 0.977 0.814 0.855 0.901 0.133 F1 0.892 0.934 0.827 0.871 0.903 0.214 Overall accuracy 0.877 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 0.8764 0.0505 0.0449 0.0210 0.0039 0.0032 building 0.0120 0.9786 0.0023 0.0057 0.0004 0.0010 low_veg 0.0469 0.0397 0.8507 0.0611 0.0001 0.0014 tree 0.0425 0.0161 0.2095 0.7268 0.0018 0.0033 car 0.1387 0.0172 0.0036 0.0289 0.8058 0.0058 clutter 0.3147 0.2420 0.1337 0.0629 0.0118 0.2349 Precision/Correctness 0.831 0.867 0.772 0.885 0.844 0.763 Recall/Completeness 0.876 0.979 0.851 0.727 0.806 0.235 F1 0.853 0.919 0.809 0.798 0.825 0.359 Overall accuracy 0.833 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 0.9084 0.0405 0.0332 0.0141 0.0008 0.0030 building 0.0093 0.9839 0.0013 0.0044 0.0004 0.0007 low_veg 0.0342 0.0304 0.8849 0.0494 0.0000 0.0010 tree 0.0371 0.0143 0.1958 0.7483 0.0016 0.0030 car 0.0717 0.0150 0.0020 0.0206 0.8849 0.0058 clutter 0.3133 0.2322 0.1040 0.0550 0.0125 0.2830 Precision/Correctness 0.863 0.896 0.794 0.913 0.895 0.792 Recall/Completeness 0.908 0.984 0.885 0.748 0.885 0.283 F1 0.885 0.938 0.837 0.823 0.890 0.417 Overall accuracy 0.861 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 0.8978 0.0426 0.0301 0.0256 0.0025 0.0013 building 0.0209 0.9653 0.0044 0.0087 0.0001 0.0005 low_veg 0.0592 0.0597 0.7448 0.1341 0.0003 0.0019 tree 0.0502 0.0096 0.0682 0.8693 0.0019 0.0007 car 0.1466 0.0149 0.0062 0.0272 0.8041 0.0010 clutter 0.4933 0.2002 0.1529 0.1036 0.0091 0.0408 Precision/Correctness 0.823 0.898 0.784 0.747 0.912 0.743 Recall/Completeness 0.898 0.965 0.745 0.869 0.804 0.041 F1 0.859 0.930 0.764 0.803 0.854 0.077 Overall accuracy 0.834 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 0.9231 0.0328 0.0233 0.0192 0.0005 0.0011 building 0.0180 0.9712 0.0031 0.0072 0.0001 0.0004 low_veg 0.0461 0.0451 0.7833 0.1238 0.0001 0.0016 tree 0.0380 0.0075 0.0556 0.8970 0.0013 0.0006 car 0.0571 0.0129 0.0019 0.0180 0.9091 0.0010 clutter 0.5267 0.1781 0.1430 0.0987 0.0097 0.0438 Precision/Correctness 0.847 0.923 0.819 0.782 0.944 0.774 Recall/Completeness 0.923 0.971 0.783 0.897 0.909 0.044 F1 0.884 0.947 0.801 0.835 0.926 0.083 Overall accuracy 0.863 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 0.8793 0.0332 0.0587 0.0165 0.0050 0.0073 building 0.0198 0.9680 0.0030 0.0070 0.0005 0.0017 low_veg 0.1204 0.0338 0.7070 0.1300 0.0006 0.0082 tree 0.0565 0.0138 0.1324 0.7906 0.0028 0.0039 car 0.1169 0.0197 0.0046 0.0253 0.8247 0.0087 clutter 0.6289 0.0712 0.1077 0.0221 0.0026 0.1675 Precision/Correctness 0.676 0.881 0.760 0.796 0.891 0.768 Recall/Completeness 0.879 0.968 0.707 0.791 0.825 0.168 F1 0.765 0.923 0.733 0.793 0.857 0.275 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 0.9006 0.0265 0.0530 0.0122 0.0010 0.0068 building 0.0168 0.9738 0.0021 0.0055 0.0004 0.0014 low_veg 0.1058 0.0259 0.7356 0.1248 0.0002 0.0076 tree 0.0475 0.0119 0.1162 0.8185 0.0023 0.0037 car 0.0538 0.0209 0.0022 0.0189 0.8958 0.0084 clutter 0.6499 0.0659 0.0923 0.0174 0.0021 0.1725 Precision/Correctness 0.688 0.904 0.785 0.819 0.942 0.792 Recall/Completeness 0.901 0.974 0.736 0.818 0.896 0.173 F1 0.780 0.938 0.759 0.819 0.918 0.283 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 0.9045 0.0456 0.0360 0.0083 0.0029 0.0026 building 0.0143 0.9652 0.0089 0.0082 0.0004 0.0029 low_veg 0.0695 0.0609 0.8058 0.0604 0.0008 0.0026 tree 0.1050 0.0165 0.1587 0.7091 0.0065 0.0042 car 0.1487 0.0267 0.0067 0.0082 0.8074 0.0023 clutter 0.3069 0.3384 0.1426 0.0553 0.0133 0.1435 Precision/Correctness 0.881 0.887 0.769 0.842 0.886 0.594 Recall/Completeness 0.905 0.965 0.806 0.709 0.807 0.143 F1 0.893 0.925 0.787 0.770 0.845 0.231 Overall accuracy 0.858 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 0.9253 0.0370 0.0295 0.0057 0.0006 0.0019 building 0.0120 0.9697 0.0080 0.0072 0.0003 0.0027 low_veg 0.0479 0.0479 0.8497 0.0527 0.0003 0.0016 tree 0.0908 0.0138 0.1396 0.7465 0.0053 0.0041 car 0.0650 0.0287 0.0016 0.0035 0.8989 0.0023 clutter 0.2949 0.3566 0.1273 0.0530 0.0135 0.1548 Precision/Correctness 0.910 0.911 0.799 0.872 0.928 0.611 Recall/Completeness 0.925 0.970 0.850 0.746 0.899 0.155 F1 0.918 0.939 0.823 0.805 0.913 0.247 Overall accuracy 0.886 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 0.8881 0.0423 0.0369 0.0280 0.0025 0.0023 building 0.0355 0.9472 0.0092 0.0069 0.0002 0.0011 low_veg 0.0584 0.0263 0.8109 0.1005 0.0011 0.0028 tree 0.0748 0.0111 0.1205 0.7890 0.0028 0.0019 car 0.1559 0.0203 0.0011 0.0085 0.8104 0.0038 clutter 0.2620 0.4005 0.1430 0.0567 0.0167 0.1211 Precision/Correctness 0.873 0.888 0.818 0.750 0.914 0.668 Recall/Completeness 0.888 0.947 0.811 0.789 0.810 0.121 F1 0.881 0.917 0.815 0.769 0.859 0.205 Overall accuracy 0.851 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 0.9109 0.0332 0.0316 0.0225 0.0004 0.0014 building 0.0339 0.9510 0.0083 0.0058 0.0001 0.0009 low_veg 0.0531 0.0193 0.8333 0.0913 0.0010 0.0020 tree 0.0598 0.0091 0.1072 0.8199 0.0023 0.0017 car 0.0642 0.0227 0.0002 0.0059 0.9031 0.0038 clutter 0.2401 0.4158 0.1322 0.0589 0.0190 0.1340 Precision/Correctness 0.897 0.913 0.845 0.779 0.945 0.701 Recall/Completeness 0.911 0.951 0.833 0.820 0.903 0.134 F1 0.904 0.932 0.839 0.799 0.924 0.225 Overall accuracy 0.877 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 0.9151 0.0208 0.0330 0.0232 0.0025 0.0054 building 0.0202 0.9705 0.0033 0.0045 0.0004 0.0012 low_veg 0.0870 0.0379 0.7641 0.1068 0.0007 0.0035 tree 0.0789 0.0134 0.0871 0.8136 0.0046 0.0023 car 0.1431 0.0213 0.0098 0.0184 0.8031 0.0042 clutter 0.2792 0.2290 0.1520 0.0888 0.0120 0.2390 Precision/Correctness 0.803 0.880 0.813 0.797 0.857 0.857 Recall/Completeness 0.915 0.970 0.764 0.814 0.803 0.239 F1 0.855 0.923 0.788 0.805 0.829 0.374 Overall accuracy 0.827 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 0.9358 0.0156 0.0251 0.0182 0.0005 0.0048 building 0.0182 0.9740 0.0024 0.0039 0.0004 0.0010 low_veg 0.0704 0.0295 0.7962 0.1006 0.0003 0.0030 tree 0.0671 0.0115 0.0788 0.8367 0.0038 0.0020 car 0.0527 0.0217 0.0063 0.0136 0.9012 0.0045 clutter 0.2753 0.1929 0.1533 0.0926 0.0119 0.2740 Precision/Correctness 0.831 0.909 0.836 0.819 0.891 0.877 Recall/Completeness 0.936 0.974 0.796 0.837 0.901 0.274 F1 0.880 0.940 0.816 0.828 0.896 0.418 Overall accuracy 0.854 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 0.9067 0.0200 0.0421 0.0232 0.0025 0.0055 building 0.0365 0.9353 0.0127 0.0132 0.0007 0.0016 low_veg 0.0681 0.0338 0.7579 0.1334 0.0002 0.0065 tree 0.0534 0.0114 0.0924 0.8392 0.0029 0.0008 car 0.1612 0.0118 0.0050 0.0151 0.8059 0.0010 clutter 0.3947 0.1595 0.1405 0.0325 0.0135 0.2594 Precision/Correctness 0.864 0.900 0.727 0.740 0.896 0.832 Recall/Completeness 0.907 0.935 0.758 0.839 0.806 0.259 F1 0.885 0.917 0.742 0.786 0.848 0.396 Overall accuracy 0.837 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 0.9250 0.0136 0.0366 0.0189 0.0006 0.0052 building 0.0317 0.9437 0.0115 0.0113 0.0006 0.0012 low_veg 0.0466 0.0256 0.7930 0.1282 0.0001 0.0064 tree 0.0429 0.0091 0.0829 0.8621 0.0024 0.0006 car 0.0723 0.0129 0.0016 0.0118 0.9003 0.0011 clutter 0.4107 0.1152 0.1397 0.0292 0.0139 0.2913 Precision/Correctness 0.886 0.931 0.749 0.768 0.923 0.848 Recall/Completeness 0.925 0.944 0.793 0.862 0.900 0.291 F1 0.905 0.937 0.771 0.812 0.912 0.434 Overall accuracy 0.862 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 0.9173 0.0418 0.0235 0.0140 0.0018 0.0016 building 0.0322 0.9484 0.0115 0.0054 0.0004 0.0020 low_veg 0.0256 0.0260 0.9030 0.0450 0.0001 0.0003 tree 0.1153 0.0096 0.1137 0.7590 0.0018 0.0006 car 0.1013 0.0675 0.0013 0.0036 0.8233 0.0030 clutter 0.5971 0.0648 0.1697 0.0521 0.0066 0.1096 Precision/Correctness 0.894 0.901 0.882 0.831 0.898 0.640 Recall/Completeness 0.917 0.948 0.903 0.759 0.823 0.110 F1 0.905 0.924 0.892 0.793 0.859 0.187 Overall accuracy 0.885 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 0.9362 0.0359 0.0167 0.0098 0.0004 0.0010 building 0.0293 0.9535 0.0105 0.0046 0.0003 0.0018 low_veg 0.0174 0.0188 0.9249 0.0387 0.0000 0.0001 tree 0.0958 0.0081 0.1030 0.7913 0.0014 0.0004 car 0.0256 0.0739 0.0008 0.0025 0.8943 0.0029 clutter 0.6287 0.0563 0.1538 0.0490 0.0055 0.1067 Precision/Correctness 0.912 0.920 0.902 0.860 0.948 0.676 Recall/Completeness 0.936 0.953 0.925 0.791 0.894 0.107 F1 0.924 0.936 0.913 0.824 0.920 0.184 Overall accuracy 0.906 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 0.9258 0.0273 0.0277 0.0130 0.0048 0.0013 building 0.0528 0.9305 0.0031 0.0099 0.0010 0.0026 low_veg 0.0675 0.0368 0.8111 0.0828 0.0007 0.0011 tree 0.0674 0.0083 0.1036 0.8142 0.0056 0.0009 car 0.1124 0.0090 0.0032 0.0151 0.8585 0.0017 clutter 0.3979 0.2433 0.1951 0.0586 0.0243 0.0807 Precision/Correctness 0.889 0.924 0.826 0.773 0.888 0.536 Recall/Completeness 0.926 0.931 0.811 0.814 0.859 0.081 F1 0.907 0.927 0.819 0.793 0.873 0.140 Overall accuracy 0.877 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 0.9459 0.0205 0.0218 0.0100 0.0006 0.0011 building 0.0498 0.9359 0.0019 0.0092 0.0008 0.0024 low_veg 0.0498 0.0257 0.8481 0.0756 0.0001 0.0007 tree 0.0567 0.0067 0.0917 0.8393 0.0047 0.0009 car 0.0386 0.0073 0.0011 0.0118 0.9396 0.0017 clutter 0.3950 0.2595 0.1837 0.0546 0.0238 0.0834 Precision/Correctness 0.908 0.942 0.853 0.802 0.942 0.548 Recall/Completeness 0.946 0.936 0.848 0.839 0.940 0.083 F1 0.927 0.939 0.851 0.820 0.941 0.145 Overall accuracy 0.900 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 0.9020 0.0197 0.0492 0.0180 0.0058 0.0053 building 0.0253 0.9506 0.0118 0.0103 0.0008 0.0013 low_veg 0.0578 0.0198 0.8409 0.0726 0.0010 0.0080 tree 0.0378 0.0254 0.1930 0.7369 0.0046 0.0024 car 0.0939 0.0148 0.0093 0.0154 0.8594 0.0072 clutter 0.2691 0.0478 0.2364 0.0537 0.0143 0.3787 Precision/Correctness 0.897 0.926 0.655 0.829 0.866 0.848 Recall/Completeness 0.902 0.951 0.841 0.737 0.859 0.379 F1 0.899 0.938 0.736 0.780 0.863 0.524 Overall accuracy 0.846 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 0.9268 0.0144 0.0394 0.0139 0.0011 0.0043 building 0.0210 0.9581 0.0102 0.0091 0.0006 0.0010 low_veg 0.0422 0.0134 0.8711 0.0657 0.0002 0.0074 tree 0.0304 0.0242 0.1753 0.7644 0.0037 0.0021 car 0.0279 0.0153 0.0030 0.0100 0.9358 0.0080 clutter 0.2665 0.0447 0.2265 0.0519 0.0140 0.3965 Precision/Correctness 0.916 0.943 0.677 0.856 0.921 0.872 Recall/Completeness 0.927 0.958 0.871 0.764 0.936 0.396 F1 0.921 0.950 0.762 0.808 0.928 0.545 Overall accuracy 0.870 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 0.8809 0.0739 0.0124 0.0256 0.0019 0.0053 building 0.0326 0.9477 0.0034 0.0060 0.0010 0.0093 low_veg 0.0530 0.0471 0.6994 0.1978 0.0005 0.0021 tree 0.0249 0.0238 0.0959 0.8544 0.0007 0.0003 car 0.1021 0.0328 0.0034 0.0277 0.8289 0.0050 clutter 0.3403 0.0389 0.1157 0.0446 0.0066 0.4539 Precision/Correctness 0.903 0.818 0.740 0.634 0.858 0.891 Recall/Completeness 0.881 0.948 0.699 0.854 0.829 0.454 F1 0.892 0.878 0.719 0.728 0.843 0.601 Overall accuracy 0.836 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 0.8965 0.0702 0.0090 0.0188 0.0005 0.0050 building 0.0308 0.9515 0.0029 0.0048 0.0010 0.0090 low_veg 0.0403 0.0423 0.7260 0.1895 0.0002 0.0017 tree 0.0143 0.0228 0.0884 0.8738 0.0005 0.0002 car 0.0331 0.0373 0.0019 0.0198 0.9031 0.0049 clutter 0.3336 0.0362 0.1162 0.0444 0.0059 0.4637 Precision/Correctness 0.912 0.830 0.758 0.660 0.903 0.899 Recall/Completeness 0.897 0.952 0.726 0.874 0.903 0.464 F1 0.904 0.887 0.741 0.752 0.903 0.612 Overall accuracy 0.851 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image