The Prague Texture Segmentation Datagenerator and Benchmark - Result Details
optimized
for

It is possible that the resulting index maps don't correspond to the training set's indeces according to the data.xml file!
It leads to the wrong values of pixel-wise criteria as a result.


Benchmark - Colour [normal] CLresult byhuangyuan's unet (pspnet)
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all99.860.000.000.000.0099.9499.930.020.040.0599.9635.100.05-31.793.350.050.280.250.310.2899.8699.7299.720.1499.860.181.0598.950.1999.5799.4399.7299.7299.7199.720.09
#4 - all98.570.000.000.000.0099.8099.850.120.240.2499.7628.400.24-36.968.250.242.822.323.332.8298.5797.1897.191.4398.491.366.1293.751.4196.3894.8197.3497.3497.3797.300.90
#5 - all99.350.000.000.000.0099.7399.870.090.160.2599.8413.720.17-37.1812.130.191.291.181.391.2999.3598.7298.720.6599.030.672.5997.180.4398.8898.3499.1699.1699.1399.190.31
#6 - all97.700.000.000.000.0099.8599.960.130.190.8399.8113.550.26-44.7120.980.364.453.045.884.4797.7095.5195.512.3097.711.876.5092.562.3193.7891.0695.3295.3294.8295.821.04
#7 - all97.010.000.000.000.00100.00100.000.110.180.3599.8214.270.22-44.529.530.245.434.396.635.5997.0194.4194.462.9995.152.267.2692.281.3695.2492.4296.0696.0696.1595.981.10
#8 - all98.280.000.000.000.00100.00100.000.120.360.1899.6413.980.23-42.105.950.253.362.853.883.3898.2896.6496.641.7297.981.594.7695.040.8696.5594.2797.0597.0596.8297.280.63
#9 - all83.830.000.0010.2713.20100.0099.943.064.208.6095.8010.745.54-39.6810.765.9511.277.0015.6711.4092.9187.7487.686.8283.413.7310.6087.753.7087.0780.6789.3089.3491.9786.796.35
#10 - all95.300.000.000.000.0099.9099.830.380.670.9099.3310.370.74-43.234.860.768.896.6111.238.9595.3091.1091.064.7094.903.609.7689.931.9090.6284.6691.6991.7091.1292.281.68
#11 - all97.280.000.000.000.00100.00100.000.200.290.6699.717.990.40-39.726.250.435.184.016.435.2697.2894.8094.752.7296.462.275.9093.790.9795.2191.8695.7595.7595.9895.530.82
#12 - all95.753.338.240.000.00100.00100.000.040.070.0899.936.930.07-44.619.690.076.234.359.147.2595.7592.9692.373.5988.652.736.8692.361.3094.0990.1894.8494.8494.2695.410.95
#6 - bark98.360.000.000.000.0099.9799.940.050.190.0999.8112.360.10-46.2615.300.123.202.763.663.2298.3696.8096.791.6497.831.515.2794.221.1796.5794.7997.3397.3397.2497.410.70
#6 - flowers87.450.000.0010.427.6199.5099.7012.0515.1712.2284.8311.4213.49-22.4813.0413.598.545.5212.119.0994.8390.7690.565.1792.973.0910.7588.472.7891.5887.4993.3393.3392.6294.052.35
#6 - glass95.890.000.000.000.0099.9099.760.120.290.3299.7115.690.23-40.2214.190.277.606.369.127.8895.8992.3892.204.1194.503.0310.5488.662.9191.1686.9193.0093.0091.9994.022.13
#6 - man-made98.850.000.000.000.00100.00100.000.110.200.2399.8019.550.21-35.315.050.222.281.942.612.2898.8597.7397.731.1598.801.184.1195.620.9097.2295.6797.7997.7997.7997.790.56
#6 - nature98.790.000.000.000.00100.00100.000.030.050.0699.9513.400.05-20.6722.260.052.382.052.732.3998.7997.6297.621.2197.801.174.0894.231.1997.5097.0098.4898.4898.3098.650.64
#6 - plants95.830.000.000.000.0099.9399.910.140.230.3499.7716.710.27-35.324.810.287.635.579.897.8295.8392.1992.064.1795.152.9310.2189.462.5891.5187.0993.1093.1092.5693.654.84
#6 - rock97.300.000.000.000.0099.9499.930.230.410.5399.5919.450.46-41.009.020.465.264.476.055.2797.3094.7594.762.7097.172.247.8191.772.0793.4189.9394.7094.7094.6194.781.24
#6 - stone98.870.000.000.000.00100.00100.000.010.030.0499.9711.250.02-47.6529.130.032.211.812.632.2398.8797.7997.801.1397.171.073.7494.840.8998.0297.4398.7098.7098.9598.450.62
#6 - textile99.360.000.000.000.0099.8599.860.080.140.3099.8619.760.17-40.1311.000.191.281.181.371.2899.3698.7398.730.6499.150.722.5097.280.4798.5897.7998.8898.8898.8198.950.27
#6 - wood95.430.000.003.951.68100.00100.000.010.010.0999.9913.430.02-39.1619.640.033.822.676.715.5797.1195.5594.352.8991.781.766.1392.911.8095.1592.9496.3496.3794.2098.581.08
mean96.450.170.411.231.1299.9299.920.851.161.3298.8415.401.15-38.6311.761.194.673.526.044.8997.3695.1595.032.5995.701.956.3393.051.5694.9092.2495.8995.9095.7296.081.42
criterionGraph
correct
over
under
missed
noise
F-measure
imageTexture mosaic (undegraded)Ground truthSegmentation
#3 - all
#4 - all
#5 - all
#6 - all
#7 - all
#8 - all
#9 - all
#10 - all
#11 - all
#12 - all
#6 - bark
#6 - flowers
#6 - glass
#6 - man-made
#6 - nature
#6 - plants
#6 - rock
#6 - stone
#6 - textile
#6 - wood