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 0.018 0.037 0.019 0.003 0.012 building 0.022 0.957 0.010 0.004 0.000 0.007 low_veg 0.044 0.013 0.864 0.067 0.000 0.011 tree 0.035 0.005 0.123 0.830 0.002 0.005 car 0.069 0.003 0.003 0.014 0.898 0.012 clutter 0.271 0.123 0.176 0.028 0.009 0.393 Precision/Correctness 0.894 0.938 0.808 0.861 0.907 0.670 Recall/Completeness 0.910 0.957 0.864 0.830 0.898 0.393 F1 0.902 0.947 0.835 0.846 0.903 0.496 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 0.929 0.015 0.031 0.014 0.000 0.011 building 0.018 0.965 0.007 0.003 0.000 0.006 low_veg 0.032 0.009 0.890 0.058 0.000 0.010 tree 0.026 0.004 0.109 0.856 0.002 0.004 car 0.010 0.003 0.002 0.009 0.963 0.013 clutter 0.268 0.110 0.169 0.024 0.009 0.420 Precision/Correctness 0.915 0.953 0.831 0.888 0.945 0.695 Recall/Completeness 0.929 0.965 0.890 0.856 0.963 0.420 F1 0.922 0.959 0.860 0.872 0.954 0.524 Overall accuracy 0.897
============================================================= Tile top_potsdam_2_13_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.8857 0.0193 0.0506 0.0186 0.0027 0.0232 building 0.0152 0.9394 0.0207 0.0101 0.0019 0.0127 low_veg 0.0281 0.0246 0.8765 0.0571 0.0002 0.0134 tree 0.0345 0.0087 0.1142 0.8356 0.0012 0.0057 car 0.0758 0.0196 0.0020 0.0100 0.8631 0.0295 clutter 0.1485 0.1763 0.1378 0.0396 0.0166 0.4812 Precision/Correctness 0.904 0.907 0.854 0.887 0.856 0.402 Recall/Completeness 0.886 0.939 0.877 0.836 0.863 0.481 F1 0.895 0.923 0.865 0.861 0.860 0.438 Overall accuracy 0.873 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 0.9090 0.0143 0.0419 0.0126 0.0004 0.0217 building 0.0108 0.9506 0.0163 0.0088 0.0019 0.0115 low_veg 0.0204 0.0227 0.8998 0.0453 0.0002 0.0116 tree 0.0263 0.0073 0.0960 0.8647 0.0008 0.0048 car 0.0217 0.0230 0.0003 0.0050 0.9146 0.0353 clutter 0.1063 0.1779 0.1002 0.0309 0.0206 0.5642 Precision/Correctness 0.933 0.925 0.880 0.914 0.897 0.392 Recall/Completeness 0.909 0.951 0.900 0.865 0.915 0.564 F1 0.921 0.937 0.890 0.889 0.906 0.462 Overall accuracy 0.899 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 0.8828 0.0072 0.0841 0.0156 0.0016 0.0087 building 0.0097 0.9688 0.0086 0.0058 0.0002 0.0070 low_veg 0.0131 0.0102 0.9333 0.0408 0.0001 0.0026 tree 0.0132 0.0037 0.1679 0.8133 0.0006 0.0012 car 0.0550 0.0003 0.0021 0.0181 0.9242 0.0003 clutter 0.0832 0.2195 0.1697 0.0671 0.0239 0.4366 Precision/Correctness 0.923 0.900 0.839 0.935 0.908 0.321 Recall/Completeness 0.883 0.969 0.933 0.813 0.924 0.437 F1 0.902 0.933 0.884 0.870 0.916 0.370 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 0.9122 0.0048 0.0646 0.0101 0.0001 0.0081 building 0.0056 0.9814 0.0030 0.0038 0.0001 0.0061 low_veg 0.0084 0.0091 0.9476 0.0329 0.0000 0.0020 tree 0.0097 0.0030 0.1517 0.8342 0.0004 0.0010 car 0.0026 0.0000 0.0002 0.0110 0.9859 0.0002 clutter 0.0592 0.2454 0.1282 0.0606 0.0248 0.4817 Precision/Correctness 0.947 0.917 0.858 0.951 0.954 0.304 Recall/Completeness 0.912 0.981 0.948 0.834 0.986 0.482 F1 0.929 0.948 0.901 0.889 0.969 0.372 Overall accuracy 0.903 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 0.8873 0.0175 0.0470 0.0243 0.0035 0.0204 building 0.0120 0.9704 0.0058 0.0044 0.0000 0.0073 low_veg 0.0519 0.0223 0.8457 0.0664 0.0001 0.0136 tree 0.0284 0.0062 0.0977 0.8614 0.0022 0.0042 car 0.0607 0.0040 0.0012 0.0175 0.9110 0.0055 clutter 0.2417 0.1445 0.2365 0.0308 0.0051 0.3414 Precision/Correctness 0.887 0.943 0.825 0.894 0.911 0.422 Recall/Completeness 0.887 0.970 0.846 0.861 0.911 0.341 F1 0.887 0.956 0.835 0.877 0.911 0.377 Overall accuracy 0.880 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 0.9146 0.0116 0.0376 0.0170 0.0002 0.0190 building 0.0087 0.9792 0.0030 0.0031 0.0000 0.0060 low_veg 0.0401 0.0141 0.8804 0.0544 0.0000 0.0109 tree 0.0208 0.0048 0.0823 0.8869 0.0016 0.0035 car 0.0068 0.0044 0.0002 0.0118 0.9712 0.0056 clutter 0.2467 0.1409 0.2196 0.0222 0.0055 0.3651 Precision/Correctness 0.916 0.963 0.855 0.921 0.962 0.411 Recall/Completeness 0.915 0.979 0.880 0.887 0.971 0.365 F1 0.915 0.971 0.867 0.904 0.966 0.386 Overall accuracy 0.908 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 0.8621 0.0208 0.0699 0.0298 0.0032 0.0141 building 0.0170 0.9700 0.0059 0.0042 0.0000 0.0029 low_veg 0.0284 0.0104 0.8997 0.0523 0.0000 0.0091 tree 0.0193 0.0036 0.1760 0.7951 0.0013 0.0047 car 0.0665 0.0012 0.0011 0.0348 0.8763 0.0201 clutter 0.2106 0.1532 0.1815 0.0341 0.0031 0.4175 Precision/Correctness 0.885 0.944 0.785 0.900 0.903 0.626 Recall/Completeness 0.862 0.970 0.900 0.795 0.876 0.417 F1 0.873 0.957 0.838 0.844 0.889 0.501 Overall accuracy 0.865 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 0.8923 0.0153 0.0576 0.0221 0.0004 0.0123 building 0.0142 0.9785 0.0024 0.0030 0.0000 0.0020 low_veg 0.0182 0.0058 0.9269 0.0418 0.0000 0.0073 tree 0.0148 0.0027 0.1598 0.8178 0.0011 0.0038 car 0.0101 0.0011 0.0001 0.0258 0.9412 0.0216 clutter 0.2078 0.1410 0.1497 0.0274 0.0031 0.4711 Precision/Correctness 0.914 0.961 0.809 0.925 0.952 0.660 Recall/Completeness 0.892 0.978 0.927 0.818 0.941 0.471 F1 0.903 0.970 0.864 0.868 0.947 0.550 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 0.9254 0.0096 0.0330 0.0255 0.0021 0.0045 building 0.0194 0.9629 0.0076 0.0052 0.0001 0.0047 low_veg 0.0593 0.0098 0.8100 0.1149 0.0002 0.0059 tree 0.0257 0.0030 0.0463 0.9222 0.0016 0.0011 car 0.0643 0.0011 0.0023 0.0270 0.8992 0.0061 clutter 0.5046 0.0904 0.1657 0.0821 0.0135 0.1437 Precision/Correctness 0.839 0.967 0.798 0.785 0.915 0.706 Recall/Completeness 0.925 0.963 0.810 0.922 0.899 0.144 F1 0.880 0.965 0.804 0.848 0.907 0.239 Overall accuracy 0.867 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 0.9446 0.0064 0.0271 0.0182 0.0003 0.0033 building 0.0137 0.9754 0.0033 0.0036 0.0001 0.0039 low_veg 0.0457 0.0053 0.8403 0.1043 0.0000 0.0044 tree 0.0158 0.0019 0.0339 0.9465 0.0012 0.0006 car 0.0062 0.0007 0.0005 0.0171 0.9699 0.0056 clutter 0.5311 0.0780 0.1547 0.0753 0.0150 0.1459 Precision/Correctness 0.863 0.978 0.834 0.821 0.936 0.736 Recall/Completeness 0.945 0.975 0.840 0.946 0.970 0.146 F1 0.902 0.977 0.837 0.880 0.952 0.244 Overall accuracy 0.893 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 0.8849 0.0293 0.0517 0.0148 0.0044 0.0150 building 0.0181 0.9612 0.0053 0.0049 0.0004 0.0102 low_veg 0.0866 0.0155 0.8046 0.0654 0.0003 0.0276 tree 0.0332 0.0046 0.1448 0.8016 0.0029 0.0129 car 0.0607 0.0028 0.0057 0.0201 0.8886 0.0222 clutter 0.3704 0.0544 0.2506 0.0140 0.0011 0.3096 Precision/Correctness 0.769 0.918 0.736 0.875 0.914 0.669 Recall/Completeness 0.885 0.961 0.805 0.802 0.889 0.310 F1 0.823 0.939 0.769 0.837 0.901 0.423 Overall accuracy 0.809 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 0.9055 0.0258 0.0451 0.0097 0.0006 0.0134 building 0.0147 0.9696 0.0030 0.0036 0.0003 0.0088 low_veg 0.0754 0.0106 0.8308 0.0575 0.0001 0.0257 tree 0.0250 0.0034 0.1272 0.8303 0.0024 0.0118 car 0.0144 0.0022 0.0054 0.0145 0.9403 0.0232 clutter 0.3790 0.0513 0.2458 0.0111 0.0007 0.3120 Precision/Correctness 0.783 0.933 0.753 0.900 0.959 0.697 Recall/Completeness 0.905 0.970 0.831 0.830 0.940 0.312 F1 0.840 0.951 0.790 0.864 0.950 0.431 Overall accuracy 0.829 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 0.8917 0.0357 0.0554 0.0076 0.0027 0.0070 building 0.0216 0.9619 0.0104 0.0018 0.0004 0.0039 low_veg 0.0670 0.0200 0.8643 0.0389 0.0005 0.0093 tree 0.0683 0.0077 0.1358 0.7760 0.0060 0.0062 car 0.0795 0.0063 0.0037 0.0076 0.8910 0.0119 clutter 0.2423 0.2292 0.2200 0.0145 0.0077 0.2864 Precision/Correctness 0.896 0.928 0.755 0.908 0.910 0.572 Recall/Completeness 0.892 0.962 0.864 0.776 0.891 0.286 F1 0.894 0.945 0.806 0.837 0.900 0.382 Overall accuracy 0.877 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 0.9085 0.0301 0.0506 0.0049 0.0004 0.0054 building 0.0190 0.9678 0.0083 0.0011 0.0003 0.0034 low_veg 0.0464 0.0117 0.9028 0.0320 0.0001 0.0070 tree 0.0523 0.0059 0.1153 0.8168 0.0044 0.0053 car 0.0121 0.0059 0.0007 0.0038 0.9628 0.0147 clutter 0.2351 0.2277 0.2241 0.0109 0.0071 0.2952 Precision/Correctness 0.923 0.945 0.779 0.934 0.949 0.584 Recall/Completeness 0.909 0.968 0.903 0.817 0.963 0.295 F1 0.916 0.956 0.836 0.871 0.956 0.392 Overall accuracy 0.902 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 0.9192 0.0168 0.0295 0.0237 0.0020 0.0087 building 0.0168 0.9686 0.0048 0.0035 0.0002 0.0062 low_veg 0.0664 0.0098 0.8364 0.0787 0.0001 0.0085 tree 0.0512 0.0065 0.1098 0.8275 0.0026 0.0024 car 0.0856 0.0016 0.0007 0.0089 0.8910 0.0123 clutter 0.2201 0.2667 0.1497 0.0216 0.0349 0.3070 Precision/Correctness 0.902 0.942 0.844 0.805 0.912 0.589 Recall/Completeness 0.919 0.969 0.836 0.828 0.891 0.307 F1 0.911 0.955 0.840 0.816 0.902 0.403 Overall accuracy 0.885 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 0.9378 0.0122 0.0252 0.0178 0.0002 0.0067 building 0.0124 0.9760 0.0030 0.0028 0.0002 0.0056 low_veg 0.0588 0.0053 0.8604 0.0691 0.0000 0.0065 tree 0.0367 0.0049 0.0976 0.8567 0.0021 0.0020 car 0.0101 0.0015 0.0001 0.0063 0.9686 0.0135 clutter 0.1871 0.2680 0.1460 0.0186 0.0425 0.3377 Precision/Correctness 0.928 0.959 0.869 0.835 0.935 0.600 Recall/Completeness 0.938 0.976 0.860 0.857 0.969 0.338 F1 0.933 0.967 0.865 0.846 0.951 0.432 Overall accuracy 0.910 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 0.9225 0.0108 0.0273 0.0276 0.0015 0.0103 building 0.0112 0.9794 0.0041 0.0034 0.0002 0.0018 low_veg 0.0524 0.0172 0.8274 0.0877 0.0003 0.0149 tree 0.0467 0.0050 0.0916 0.8453 0.0044 0.0070 car 0.0901 0.0026 0.0103 0.0131 0.8648 0.0189 clutter 0.2001 0.2063 0.1572 0.0500 0.0061 0.3802 Precision/Correctness 0.866 0.915 0.825 0.830 0.907 0.781 Recall/Completeness 0.923 0.979 0.827 0.845 0.865 0.380 F1 0.893 0.946 0.826 0.837 0.885 0.511 Overall accuracy 0.862 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 0.9419 0.0078 0.0198 0.0213 0.0002 0.0089 building 0.0092 0.9845 0.0018 0.0029 0.0001 0.0016 low_veg 0.0380 0.0142 0.8516 0.0823 0.0000 0.0138 tree 0.0368 0.0040 0.0828 0.8668 0.0034 0.0062 car 0.0131 0.0029 0.0095 0.0083 0.9460 0.0201 clutter 0.1861 0.1816 0.1499 0.0489 0.0064 0.4271 Precision/Correctness 0.895 0.935 0.849 0.853 0.931 0.804 Recall/Completeness 0.942 0.984 0.852 0.867 0.946 0.427 F1 0.918 0.959 0.851 0.860 0.938 0.558 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_15_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.9008 0.0279 0.0430 0.0201 0.0017 0.0065 building 0.0168 0.9609 0.0121 0.0061 0.0003 0.0037 low_veg 0.0481 0.0060 0.8017 0.1250 0.0002 0.0191 tree 0.0373 0.0043 0.0718 0.8823 0.0019 0.0024 car 0.0976 0.0044 0.0035 0.0145 0.8712 0.0089 clutter 0.2963 0.2019 0.1124 0.0138 0.0026 0.3730 Precision/Correctness 0.903 0.899 0.759 0.781 0.950 0.795 Recall/Completeness 0.901 0.961 0.802 0.882 0.871 0.373 F1 0.902 0.929 0.780 0.828 0.909 0.508 Overall accuracy 0.862 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 0.9156 0.0246 0.0384 0.0154 0.0005 0.0057 building 0.0124 0.9692 0.0102 0.0047 0.0003 0.0033 low_veg 0.0302 0.0023 0.8305 0.1186 0.0001 0.0183 tree 0.0273 0.0029 0.0630 0.9033 0.0014 0.0020 car 0.0189 0.0042 0.0009 0.0120 0.9540 0.0099 clutter 0.2969 0.1768 0.1041 0.0112 0.0023 0.4087 Precision/Correctness 0.924 0.918 0.780 0.810 0.972 0.814 Recall/Completeness 0.916 0.969 0.831 0.903 0.954 0.409 F1 0.920 0.943 0.805 0.854 0.963 0.544 Overall accuracy 0.884 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 0.9336 0.0134 0.0228 0.0174 0.0014 0.0114 building 0.0387 0.9329 0.0179 0.0015 0.0001 0.0089 low_veg 0.0218 0.0044 0.9335 0.0384 0.0000 0.0020 tree 0.0669 0.0026 0.0796 0.8476 0.0016 0.0018 car 0.0691 0.0000 0.0002 0.0040 0.9056 0.0211 clutter 0.3627 0.0193 0.2969 0.0426 0.0050 0.2735 Precision/Correctness 0.920 0.971 0.886 0.856 0.929 0.433 Recall/Completeness 0.934 0.933 0.934 0.848 0.906 0.273 F1 0.927 0.951 0.909 0.852 0.917 0.335 Overall accuracy 0.909 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 0.9491 0.0112 0.0184 0.0117 0.0002 0.0094 building 0.0342 0.9435 0.0138 0.0008 0.0001 0.0076 low_veg 0.0126 0.0022 0.9517 0.0325 0.0000 0.0011 tree 0.0496 0.0016 0.0683 0.8778 0.0012 0.0015 car 0.0081 0.0000 0.0000 0.0021 0.9673 0.0225 clutter 0.3747 0.0149 0.3096 0.0422 0.0042 0.2544 Precision/Correctness 0.937 0.978 0.904 0.886 0.969 0.433 Recall/Completeness 0.949 0.943 0.952 0.878 0.967 0.254 F1 0.943 0.961 0.927 0.882 0.968 0.320 Overall accuracy 0.928 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 0.9467 0.0112 0.0236 0.0111 0.0042 0.0032 building 0.0355 0.9520 0.0069 0.0010 0.0005 0.0040 low_veg 0.0519 0.0079 0.8598 0.0744 0.0004 0.0055 tree 0.0436 0.0090 0.0779 0.8618 0.0066 0.0012 car 0.0549 0.0018 0.0019 0.0077 0.9296 0.0042 clutter 0.2300 0.2858 0.2344 0.0266 0.0165 0.2068 Precision/Correctness 0.925 0.956 0.845 0.828 0.910 0.575 Recall/Completeness 0.947 0.952 0.860 0.862 0.930 0.207 F1 0.936 0.954 0.853 0.845 0.920 0.304 Overall accuracy 0.909 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 0.9630 0.0079 0.0183 0.0079 0.0003 0.0026 building 0.0308 0.9604 0.0043 0.0005 0.0003 0.0037 low_veg 0.0364 0.0038 0.8879 0.0679 0.0000 0.0040 tree 0.0327 0.0074 0.0661 0.8875 0.0053 0.0010 car 0.0057 0.0014 0.0005 0.0043 0.9842 0.0039 clutter 0.2088 0.3165 0.2356 0.0228 0.0159 0.2004 Precision/Correctness 0.944 0.965 0.870 0.857 0.958 0.586 Recall/Completeness 0.963 0.960 0.888 0.887 0.984 0.200 F1 0.953 0.963 0.879 0.872 0.971 0.299 Overall accuracy 0.928 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 0.9187 0.0142 0.0324 0.0098 0.0051 0.0198 building 0.0157 0.9492 0.0253 0.0047 0.0002 0.0049 low_veg 0.0440 0.0059 0.8734 0.0463 0.0014 0.0291 tree 0.0447 0.0061 0.1671 0.7689 0.0050 0.0081 car 0.0537 0.0033 0.0040 0.0063 0.9248 0.0079 clutter 0.1294 0.0346 0.2000 0.0047 0.0135 0.6178 Precision/Correctness 0.929 0.959 0.698 0.908 0.882 0.719 Recall/Completeness 0.919 0.949 0.873 0.769 0.925 0.618 F1 0.924 0.954 0.776 0.833 0.903 0.665 Overall accuracy 0.878 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 0.9375 0.0118 0.0254 0.0064 0.0005 0.0185 building 0.0113 0.9585 0.0221 0.0038 0.0002 0.0042 low_veg 0.0260 0.0040 0.9040 0.0378 0.0003 0.0279 tree 0.0350 0.0048 0.1518 0.7969 0.0041 0.0075 car 0.0053 0.0032 0.0005 0.0040 0.9794 0.0076 clutter 0.1211 0.0336 0.1938 0.0034 0.0137 0.6343 Precision/Correctness 0.949 0.967 0.716 0.933 0.933 0.739 Recall/Completeness 0.937 0.958 0.904 0.797 0.979 0.634 F1 0.943 0.963 0.799 0.860 0.956 0.683 Overall accuracy 0.899 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 0.9199 0.0187 0.0133 0.0277 0.0020 0.0184 building 0.0472 0.9148 0.0060 0.0040 0.0001 0.0281 low_veg 0.0508 0.0127 0.7552 0.1745 0.0002 0.0066 tree 0.0285 0.0038 0.0902 0.8758 0.0013 0.0004 car 0.0438 0.0005 0.0014 0.0206 0.9265 0.0072 clutter 0.1959 0.0175 0.0937 0.0090 0.0080 0.6760 Precision/Correctness 0.926 0.943 0.765 0.671 0.874 0.790 Recall/Completeness 0.920 0.915 0.755 0.876 0.927 0.676 F1 0.923 0.929 0.760 0.760 0.899 0.729 Overall accuracy 0.877 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 0.9349 0.0156 0.0108 0.0205 0.0004 0.0178 building 0.0441 0.9206 0.0049 0.0031 0.0000 0.0272 low_veg 0.0375 0.0089 0.7815 0.1662 0.0001 0.0058 tree 0.0202 0.0024 0.0834 0.8930 0.0008 0.0002 car 0.0044 0.0004 0.0004 0.0147 0.9741 0.0059 clutter 0.1874 0.0159 0.0932 0.0084 0.0077 0.6874 Precision/Correctness 0.935 0.953 0.780 0.701 0.914 0.800 Recall/Completeness 0.935 0.921 0.781 0.893 0.974 0.687 F1 0.935 0.937 0.781 0.786 0.943 0.740 Overall accuracy 0.892 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image