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 0.895 0.019 0.032 0.022 0.003 0.030 building 0.020 0.949 0.007 0.011 0.002 0.011 low_veg 0.053 0.013 0.815 0.097 0.000 0.022 tree 0.042 0.007 0.147 0.793 0.004 0.008 car 0.077 0.006 0.002 0.008 0.897 0.010 clutter 0.333 0.102 0.106 0.032 0.029 0.399 Precision/Correctness 0.876 0.940 0.804 0.810 0.834 0.505 Recall/Completeness 0.895 0.949 0.815 0.793 0.897 0.399 F1 0.885 0.945 0.809 0.801 0.864 0.446 Overall accuracy 0.851	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 0.911 0.015 0.027 0.017 0.001 0.029 building 0.017 0.957 0.005 0.010 0.002 0.010 low_veg 0.041 0.008 0.840 0.090 0.000 0.021 tree 0.033 0.005 0.135 0.817 0.003 0.007 car 0.014 0.006 0.000 0.005 0.963 0.011 clutter 0.336 0.086 0.092 0.028 0.028 0.431 Precision/Correctness 0.898 0.956 0.826 0.835 0.858 0.513 Recall/Completeness 0.911 0.957 0.840 0.817 0.963 0.431 F1 0.905 0.956 0.833 0.826 0.908 0.468 Overall accuracy 0.872
============================================================= Tile top_potsdam_2_13_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.9021 0.0224 0.0293 0.0146 0.0028 0.0288 building 0.0139 0.9498 0.0058 0.0181 0.0016 0.0108 low_veg 0.0499 0.0160 0.8290 0.0686 0.0004 0.0361 tree 0.0444 0.0140 0.1662 0.7593 0.0024 0.0137 car 0.1002 0.0078 0.0010 0.0037 0.8524 0.0348 clutter 0.1570 0.1605 0.1108 0.0207 0.0611 0.4900 Precision/Correctness 0.873 0.912 0.837 0.862 0.777 0.285 Recall/Completeness 0.902 0.950 0.829 0.759 0.852 0.490 F1 0.887 0.931 0.833 0.808 0.813 0.361 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_13_class.tif, reference set: no_boundary ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.9249 0.0173 0.0213 0.0102 0.0008 0.0255 building 0.0105 0.9588 0.0037 0.0169 0.0014 0.0087 low_veg 0.0417 0.0115 0.8529 0.0583 0.0003 0.0352 tree 0.0359 0.0123 0.1487 0.7883 0.0019 0.0129 car 0.0440 0.0077 0.0001 0.0016 0.9079 0.0387 clutter 0.1194 0.1513 0.0815 0.0165 0.0685 0.5628 Precision/Correctness 0.900 0.935 0.861 0.886 0.815 0.268 Recall/Completeness 0.925 0.959 0.853 0.788 0.908 0.563 F1 0.912 0.947 0.857 0.834 0.859 0.363 Overall accuracy 0.872 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 0.8707 0.0093 0.0625 0.0151 0.0017 0.0407 building 0.0083 0.9665 0.0071 0.0097 0.0003 0.0080 low_veg 0.0418 0.0049 0.8775 0.0485 0.0002 0.0272 tree 0.0261 0.0059 0.2296 0.7288 0.0013 0.0083 car 0.0747 0.0109 0.0016 0.0036 0.9020 0.0072 clutter 0.1388 0.2545 0.1256 0.0406 0.0843 0.3562 Precision/Correctness 0.827 0.911 0.797 0.918 0.830 0.057 Recall/Completeness 0.871 0.967 0.877 0.729 0.902 0.356 F1 0.848 0.938 0.835 0.812 0.864 0.099 Overall accuracy 0.828 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 0.8929 0.0062 0.0492 0.0096 0.0005 0.0416 building 0.0055 0.9778 0.0039 0.0073 0.0001 0.0054 low_veg 0.0361 0.0028 0.8922 0.0413 0.0001 0.0275 tree 0.0221 0.0052 0.2155 0.7482 0.0010 0.0080 car 0.0192 0.0120 0.0002 0.0018 0.9602 0.0067 clutter 0.1035 0.2849 0.1003 0.0440 0.0983 0.3690 Precision/Correctness 0.849 0.935 0.812 0.934 0.860 0.043 Recall/Completeness 0.893 0.978 0.892 0.748 0.960 0.369 F1 0.870 0.956 0.850 0.831 0.907 0.077 Overall accuracy 0.845 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 0.8814 0.0210 0.0388 0.0256 0.0037 0.0296 building 0.0153 0.9636 0.0053 0.0061 0.0007 0.0089 low_veg 0.0626 0.0248 0.7844 0.1082 0.0003 0.0197 tree 0.0279 0.0074 0.1116 0.8407 0.0045 0.0080 car 0.0727 0.0061 0.0011 0.0101 0.9016 0.0085 clutter 0.3173 0.1579 0.1954 0.0353 0.0236 0.2705 Precision/Correctness 0.869 0.935 0.814 0.851 0.849 0.284 Recall/Completeness 0.881 0.964 0.784 0.841 0.902 0.271 F1 0.875 0.949 0.799 0.846 0.874 0.277 Overall accuracy 0.856 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 0.9081 0.0144 0.0297 0.0181 0.0006 0.0292 building 0.0127 0.9703 0.0037 0.0048 0.0006 0.0079 low_veg 0.0511 0.0146 0.8175 0.0984 0.0001 0.0182 tree 0.0214 0.0057 0.0975 0.8641 0.0038 0.0075 car 0.0144 0.0065 0.0003 0.0059 0.9649 0.0079 clutter 0.3273 0.1487 0.1696 0.0285 0.0259 0.2999 Precision/Correctness 0.897 0.958 0.842 0.877 0.886 0.265 Recall/Completeness 0.908 0.970 0.817 0.864 0.965 0.300 F1 0.902 0.964 0.830 0.871 0.924 0.282 Overall accuracy 0.883 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 0.8667 0.0278 0.0469 0.0298 0.0049 0.0240 building 0.0137 0.9693 0.0043 0.0067 0.0005 0.0055 low_veg 0.0367 0.0152 0.8481 0.0877 0.0002 0.0120 tree 0.0279 0.0086 0.2457 0.7044 0.0030 0.0105 car 0.0637 0.0108 0.0023 0.0130 0.9023 0.0080 clutter 0.2330 0.1547 0.1449 0.0365 0.0228 0.4082 Precision/Correctness 0.867 0.926 0.745 0.847 0.802 0.501 Recall/Completeness 0.867 0.969 0.848 0.704 0.902 0.408 F1 0.867 0.947 0.793 0.769 0.849 0.450 Overall accuracy 0.829 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image	============================================================= Tile top_potsdam_3_14_class.tif, reference set: no_boundary ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.8937 0.0215 0.0370 0.0226 0.0018 0.0233 building 0.0114 0.9760 0.0022 0.0056 0.0004 0.0043 low_veg 0.0260 0.0095 0.8758 0.0781 0.0001 0.0105 tree 0.0232 0.0074 0.2349 0.7222 0.0027 0.0098 car 0.0101 0.0110 0.0006 0.0072 0.9642 0.0069 clutter 0.2247 0.1432 0.1171 0.0298 0.0238 0.4614 Precision/Correctness 0.896 0.947 0.762 0.873 0.835 0.511 Recall/Completeness 0.894 0.976 0.876 0.722 0.964 0.461 F1 0.895 0.961 0.815 0.790 0.895 0.485 Overall accuracy 0.852 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 0.9118 0.0145 0.0301 0.0303 0.0016 0.0117 building 0.0139 0.9629 0.0053 0.0099 0.0008 0.0071 low_veg 0.0476 0.0197 0.7681 0.1563 0.0003 0.0079 tree 0.0384 0.0032 0.0557 0.8911 0.0040 0.0076 car 0.0789 0.0041 0.0021 0.0134 0.8937 0.0078 clutter 0.4108 0.1127 0.1461 0.0664 0.0226 0.2414 Precision/Correctness 0.857 0.954 0.799 0.741 0.872 0.665 Recall/Completeness 0.912 0.963 0.768 0.891 0.894 0.241 F1 0.884 0.959 0.783 0.809 0.883 0.354 Overall accuracy 0.859 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image	============================================================= Tile top_potsdam_4_13_class.tif, reference set: no_boundary ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.9292 0.0110 0.0245 0.0237 0.0003 0.0112 building 0.0091 0.9727 0.0025 0.0085 0.0007 0.0065 low_veg 0.0362 0.0145 0.7948 0.1478 0.0001 0.0066 tree 0.0283 0.0019 0.0445 0.9159 0.0030 0.0065 car 0.0102 0.0038 0.0003 0.0080 0.9694 0.0083 clutter 0.4170 0.0969 0.1355 0.0592 0.0233 0.2681 Precision/Correctness 0.883 0.967 0.832 0.772 0.890 0.684 Recall/Completeness 0.929 0.973 0.795 0.916 0.969 0.268 F1 0.906 0.970 0.813 0.838 0.928 0.385 Overall accuracy 0.885 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 0.8756 0.0163 0.0553 0.0187 0.0029 0.0312 building 0.0165 0.9614 0.0029 0.0069 0.0054 0.0069 low_veg 0.0904 0.0151 0.7543 0.0938 0.0009 0.0456 tree 0.0422 0.0051 0.1305 0.8095 0.0044 0.0082 car 0.0779 0.0077 0.0012 0.0120 0.8894 0.0119 clutter 0.5772 0.0388 0.0760 0.0167 0.0052 0.2861 Precision/Correctness 0.710 0.939 0.788 0.837 0.857 0.567 Recall/Completeness 0.876 0.961 0.754 0.810 0.889 0.286 F1 0.784 0.950 0.771 0.823 0.873 0.380 Overall accuracy 0.794 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 0.8909 0.0114 0.0518 0.0143 0.0003 0.0313 building 0.0136 0.9688 0.0012 0.0054 0.0052 0.0057 low_veg 0.0760 0.0099 0.7814 0.0860 0.0005 0.0461 tree 0.0338 0.0038 0.1140 0.8376 0.0037 0.0072 car 0.0200 0.0082 0.0007 0.0082 0.9507 0.0123 clutter 0.5955 0.0350 0.0626 0.0128 0.0040 0.2901 Precision/Correctness 0.722 0.956 0.809 0.862 0.883 0.581 Recall/Completeness 0.891 0.969 0.781 0.838 0.951 0.290 F1 0.797 0.962 0.795 0.850 0.915 0.387 Overall accuracy 0.813 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image
============================================================= Tile top_potsdam_4_15_class.tif, reference set: full_reference ↓ predicted || reference → imp_surf building low_veg tree car clutter imp_surf 0.8907 0.0201 0.0502 0.0108 0.0030 0.0252 building 0.0074 0.9705 0.0053 0.0130 0.0003 0.0034 low_veg 0.0531 0.0249 0.8457 0.0618 0.0007 0.0138 tree 0.0735 0.0065 0.1456 0.7575 0.0108 0.0061 car 0.0825 0.0042 0.0023 0.0019 0.8984 0.0107 clutter 0.3629 0.2236 0.0971 0.0307 0.0252 0.2605 Precision/Correctness 0.902 0.943 0.775 0.838 0.865 0.367 Recall/Completeness 0.891 0.971 0.846 0.758 0.898 0.261 F1 0.897 0.956 0.809 0.796 0.881 0.305 Overall accuracy 0.873 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 0.9063 0.0143 0.0458 0.0077 0.0008 0.0251 building 0.0052 0.9764 0.0036 0.0120 0.0002 0.0025 low_veg 0.0335 0.0163 0.8832 0.0550 0.0002 0.0118 tree 0.0598 0.0049 0.1257 0.7949 0.0091 0.0055 car 0.0172 0.0042 0.0001 0.0007 0.9653 0.0125 clutter 0.3795 0.2256 0.0805 0.0269 0.0218 0.2656 Precision/Correctness 0.928 0.959 0.799 0.865 0.900 0.342 Recall/Completeness 0.906 0.976 0.883 0.795 0.965 0.266 F1 0.917 0.968 0.839 0.828 0.932 0.299 Overall accuracy 0.897 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 0.8953 0.0218 0.0315 0.0250 0.0022 0.0242 building 0.0163 0.9483 0.0040 0.0088 0.0037 0.0190 low_veg 0.0574 0.0129 0.8011 0.1110 0.0003 0.0172 tree 0.0547 0.0047 0.1279 0.8058 0.0040 0.0029 car 0.0948 0.0054 0.0005 0.0041 0.8862 0.0091 clutter 0.2390 0.2327 0.1104 0.0324 0.1161 0.2694 Precision/Correctness 0.902 0.938 0.832 0.750 0.789 0.333 Recall/Completeness 0.895 0.948 0.801 0.806 0.886 0.269 F1 0.898 0.943 0.816 0.777 0.835 0.298 Overall accuracy 0.861 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 0.9132 0.0168 0.0269 0.0197 0.0004 0.0231 building 0.0127 0.9545 0.0028 0.0078 0.0037 0.0185 low_veg 0.0501 0.0080 0.8225 0.1037 0.0001 0.0155 tree 0.0405 0.0032 0.1148 0.8357 0.0034 0.0023 car 0.0164 0.0062 0.0000 0.0023 0.9646 0.0104 clutter 0.2090 0.2201 0.0996 0.0318 0.1398 0.2998 Precision/Correctness 0.927 0.956 0.857 0.774 0.801 0.311 Recall/Completeness 0.913 0.955 0.823 0.836 0.965 0.300 F1 0.920 0.955 0.839 0.804 0.875 0.305 Overall accuracy 0.884 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 0.8975 0.0088 0.0278 0.0313 0.0014 0.0331 building 0.0176 0.9635 0.0036 0.0047 0.0006 0.0099 low_veg 0.0722 0.0074 0.7616 0.1322 0.0004 0.0261 tree 0.0547 0.0067 0.1057 0.8137 0.0066 0.0128 car 0.0950 0.0169 0.0040 0.0066 0.8625 0.0150 clutter 0.2235 0.1576 0.1154 0.0523 0.0193 0.4319 Precision/Correctness 0.836 0.934 0.816 0.777 0.841 0.624 Recall/Completeness 0.898 0.964 0.762 0.814 0.863 0.432 F1 0.865 0.948 0.788 0.795 0.852 0.510 Overall accuracy 0.836 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 0.9128 0.0062 0.0224 0.0256 0.0002 0.0327 building 0.0154 0.9689 0.0018 0.0040 0.0005 0.0093 low_veg 0.0570 0.0039 0.7848 0.1291 0.0001 0.0252 tree 0.0447 0.0056 0.0978 0.8348 0.0055 0.0115 car 0.0162 0.0177 0.0026 0.0034 0.9428 0.0171 clutter 0.2083 0.1295 0.1042 0.0522 0.0193 0.4865 Precision/Correctness 0.865 0.953 0.838 0.797 0.858 0.639 Recall/Completeness 0.913 0.969 0.785 0.835 0.943 0.486 F1 0.888 0.961 0.811 0.816 0.898 0.552 Overall accuracy 0.859 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 0.8874 0.0067 0.0421 0.0268 0.0019 0.0351 building 0.0141 0.9528 0.0074 0.0142 0.0020 0.0095 low_veg 0.0521 0.0083 0.7608 0.1593 0.0002 0.0193 tree 0.0385 0.0035 0.0944 0.8566 0.0044 0.0026 car 0.0972 0.0044 0.0024 0.0112 0.8752 0.0096 clutter 0.3895 0.1036 0.0995 0.0324 0.0333 0.3417 Precision/Correctness 0.887 0.953 0.748 0.715 0.848 0.549 Recall/Completeness 0.887 0.953 0.761 0.857 0.875 0.342 F1 0.887 0.953 0.754 0.780 0.861 0.421 Overall accuracy 0.843 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 0.9004 0.0035 0.0381 0.0219 0.0008 0.0353 building 0.0103 0.9613 0.0062 0.0122 0.0017 0.0083 low_veg 0.0337 0.0044 0.7873 0.1557 0.0001 0.0189 tree 0.0289 0.0019 0.0851 0.8782 0.0039 0.0021 car 0.0181 0.0047 0.0002 0.0095 0.9572 0.0103 clutter 0.4047 0.0705 0.0902 0.0304 0.0353 0.3689 Precision/Correctness 0.906 0.973 0.768 0.742 0.854 0.554 Recall/Completeness 0.900 0.961 0.787 0.878 0.957 0.369 F1 0.903 0.967 0.777 0.804 0.902 0.443 Overall accuracy 0.864 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 0.9277 0.0271 0.0143 0.0156 0.0024 0.0128 building 0.0318 0.9352 0.0082 0.0183 0.0006 0.0058 low_veg 0.0275 0.0089 0.8921 0.0701 0.0001 0.0014 tree 0.0924 0.0029 0.0873 0.8132 0.0021 0.0020 car 0.0779 0.0039 0.0002 0.0014 0.8970 0.0196 clutter 0.5091 0.0641 0.1174 0.0416 0.0321 0.2357 Precision/Correctness 0.905 0.941 0.913 0.777 0.846 0.407 Recall/Completeness 0.928 0.935 0.892 0.813 0.897 0.236 F1 0.916 0.938 0.902 0.795 0.871 0.299 Overall accuracy 0.893 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 0.9403 0.0243 0.0110 0.0108 0.0014 0.0121 building 0.0278 0.9429 0.0057 0.0179 0.0006 0.0051 low_veg 0.0185 0.0060 0.9104 0.0642 0.0000 0.0009 tree 0.0726 0.0021 0.0772 0.8446 0.0017 0.0017 car 0.0130 0.0050 0.0000 0.0005 0.9619 0.0196 clutter 0.5304 0.0578 0.0963 0.0395 0.0291 0.2470 Precision/Correctness 0.923 0.952 0.930 0.800 0.872 0.410 Recall/Completeness 0.940 0.943 0.910 0.845 0.962 0.247 F1 0.932 0.947 0.920 0.822 0.915 0.308 Overall accuracy 0.911 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 0.9403 0.0053 0.0210 0.0139 0.0040 0.0154 building 0.0556 0.9169 0.0034 0.0055 0.0065 0.0121 low_veg 0.0618 0.0096 0.8113 0.1081 0.0005 0.0087 tree 0.0520 0.0073 0.0900 0.8396 0.0085 0.0026 car 0.0519 0.0026 0.0013 0.0064 0.9323 0.0055 clutter 0.3312 0.1889 0.2046 0.0457 0.0307 0.1988 Precision/Correctness 0.901 0.969 0.847 0.761 0.852 0.288 Recall/Completeness 0.940 0.917 0.811 0.840 0.932 0.199 F1 0.920 0.942 0.829 0.798 0.890 0.235 Overall accuracy 0.886 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 0.9537 0.0026 0.0170 0.0111 0.0002 0.0155 building 0.0511 0.9247 0.0015 0.0050 0.0062 0.0114 low_veg 0.0441 0.0054 0.8401 0.1024 0.0001 0.0079 tree 0.0415 0.0058 0.0794 0.8640 0.0071 0.0022 car 0.0050 0.0017 0.0005 0.0037 0.9832 0.0058 clutter 0.3192 0.2057 0.2018 0.0409 0.0291 0.2032 Precision/Correctness 0.919 0.977 0.869 0.787 0.881 0.274 Recall/Completeness 0.954 0.925 0.840 0.864 0.983 0.203 F1 0.936 0.950 0.854 0.823 0.929 0.233 Overall accuracy 0.904 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 0.8822 0.0056 0.0314 0.0215 0.0046 0.0547 building 0.0136 0.9113 0.0299 0.0301 0.0018 0.0133 low_veg 0.0435 0.0052 0.7996 0.1164 0.0012 0.0343 tree 0.0294 0.0052 0.1315 0.8251 0.0058 0.0031 car 0.0610 0.0009 0.0028 0.0112 0.9155 0.0085 clutter 0.1719 0.0192 0.1190 0.0242 0.0457 0.6200 Precision/Correctness 0.927 0.977 0.719 0.790 0.824 0.557 Recall/Completeness 0.882 0.911 0.800 0.825 0.916 0.620 F1 0.904 0.943 0.757 0.807 0.868 0.587 Overall accuracy 0.853 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 0.8977 0.0033 0.0256 0.0171 0.0005 0.0559 building 0.0095 0.9198 0.0280 0.0293 0.0016 0.0118 low_veg 0.0265 0.0033 0.8273 0.1093 0.0001 0.0334 tree 0.0212 0.0038 0.1158 0.8519 0.0047 0.0026 car 0.0090 0.0007 0.0004 0.0078 0.9730 0.0091 clutter 0.1665 0.0165 0.1121 0.0205 0.0433 0.6411 Precision/Correctness 0.946 0.985 0.738 0.814 0.861 0.565 Recall/Completeness 0.898 0.920 0.827 0.852 0.973 0.641 F1 0.921 0.952 0.780 0.833 0.914 0.601 Overall accuracy 0.873 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 0.8731 0.0430 0.0078 0.0292 0.0021 0.0449 building 0.0318 0.9266 0.0017 0.0045 0.0047 0.0308 low_veg 0.0573 0.0192 0.7098 0.2002 0.0003 0.0133 tree 0.0269 0.0068 0.0910 0.8696 0.0017 0.0041 car 0.0516 0.0066 0.0012 0.0124 0.9260 0.0023 clutter 0.2232 0.0216 0.0332 0.0020 0.0156 0.7043 Precision/Correctness 0.924 0.889 0.833 0.652 0.776 0.673 Recall/Completeness 0.873 0.927 0.710 0.870 0.926 0.704 F1 0.898 0.908 0.767 0.745 0.845 0.689 Overall accuracy 0.854 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 0.8851 0.0398 0.0059 0.0229 0.0007 0.0455 building 0.0294 0.9312 0.0011 0.0036 0.0043 0.0305 low_veg 0.0435 0.0147 0.7343 0.1941 0.0000 0.0133 tree 0.0154 0.0050 0.0823 0.8924 0.0011 0.0038 car 0.0049 0.0064 0.0004 0.0071 0.9795 0.0018 clutter 0.2156 0.0195 0.0308 0.0017 0.0141 0.7183 Precision/Correctness 0.933 0.901 0.854 0.677 0.793 0.678 Recall/Completeness 0.885 0.931 0.734 0.892 0.980 0.718 F1 0.908 0.916 0.790 0.770 0.877 0.698 Overall accuracy 0.867 Red/green image, indicating wrongly classified pixels Original, resized true ortho image for better comparison Classified image