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 byyzan's Laws & Naive Bayes ()
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all96.300.000.000.000.00100.00100.0027.2227.3328.9672.670.0528.1227.270.9428.136.974.029.987.0296.3092.8392.913.7096.362.5414.4485.464.9488.9686.3892.6992.6992.1093.303.75
#4 - all92.150.000.000.000.00100.00100.0014.6214.9517.4585.050.0916.1014.751.2816.1513.418.0119.2513.8492.1585.4486.097.8591.494.4920.2079.277.1381.8176.4886.6786.6786.0087.354.40
#5 - all81.690.000.009.7716.30100.00100.0031.7132.7936.4467.210.7834.5232.151.7034.5713.299.6419.7916.1491.0783.4285.438.9389.964.8518.8079.897.2580.3674.1385.1585.2288.8681.733.61
#6 - all12.190.000.0085.1385.87100.00100.007.588.239.5891.770.118.857.780.618.8845.7638.4654.3947.0962.7450.2150.1932.0968.4114.2349.5543.7324.1334.1533.3850.0550.0650.9849.1513.73
#7 - all77.650.000.0016.0712.82100.00100.0015.3116.9416.9483.060.4716.9415.930.0016.9422.0919.2427.5124.6683.5176.3773.9915.3075.968.1326.0771.857.3575.0365.9879.5179.5576.9282.275.50
#8 - all7.780.000.0091.9990.84100.00100.002.182.953.7697.050.183.311.740.523.3344.1241.1956.0153.0860.2050.5047.4436.0063.9915.7147.1249.3116.5838.3831.7148.1548.3644.0253.128.73
#9 - all15.790.000.0082.6283.82100.00100.0015.4515.7916.9684.210.0816.3615.600.4016.3743.9537.9455.6549.6457.8349.3745.8536.1548.2615.4443.8349.1116.8043.7136.9653.9753.9952.6255.408.60
#10 - all0.000.000.00100.00100.00100.00100.000.090.110.5399.890.170.18-0.772.250.2450.0440.8767.5558.3851.6637.3039.6141.9853.5418.1149.0646.6016.8629.2523.9838.6939.2932.9646.838.35
#11 - all35.720.000.0057.3860.80100.00100.005.425.836.5794.170.046.185.560.246.1939.8334.1448.0442.3567.8155.2755.9429.4165.0613.6235.4262.239.0356.5244.5561.6461.6659.9263.455.90
#12 - all7.710.0024.5665.2159.87100.00100.000.670.733.7699.270.061.220.361.761.6639.9532.8756.5749.4965.6353.8749.8830.1353.9115.8239.7353.5513.8546.4837.3154.3555.2046.2665.877.17
#6 - bark55.270.000.0035.3338.86100.00100.0025.4728.2926.4871.711.3827.3626.660.8327.3735.8332.1641.4737.8071.5960.1461.9226.7267.2811.6340.4955.6813.3260.8553.1069.3769.3769.8868.868.89
#6 - flowers31.700.000.0058.6465.35100.00100.0019.6919.8026.2080.200.0522.5619.732.6322.7838.6031.4949.9542.8471.7355.2759.0628.2769.4212.6944.1953.4916.7946.9840.2657.4157.4760.2954.7810.08
#6 - glass35.390.000.0058.8960.11100.00100.003.263.944.7496.060.094.313.280.444.3229.3620.6244.2535.5173.2660.9358.2423.9675.139.6233.5062.8317.8650.0644.4061.4961.8955.2569.3214.01
#6 - man-made59.650.000.0035.6438.08100.00100.005.596.349.4693.660.217.595.541.607.7424.2217.6231.5324.9381.3770.7473.3018.6377.388.0327.9670.159.2771.4963.0277.3277.3277.0777.566.29
#6 - nature24.820.000.0073.8869.87100.00100.000.332.630.3397.370.610.59-7.578.200.9328.8618.2958.7948.2154.5745.1644.2430.4459.8611.7440.8949.9131.5427.7931.2947.6649.8767.5636.8213.44
#6 - plants0.000.000.00100.00100.00100.00100.001.883.902.7496.101.523.22-2.131.943.2748.0439.5166.7758.2548.9636.3836.5442.9051.4016.5257.5137.7024.7225.6725.8341.0541.3236.9046.2614.61
#6 - rock0.000.0023.0871.2669.85100.00100.001.465.741.5094.261.342.38-3.847.502.9447.3835.6861.6949.9957.8641.5146.9337.2057.8014.9452.0143.2622.6032.0530.0946.2646.3943.1449.888.27
#6 - stone50.390.000.0048.5447.79100.00100.002.445.142.4594.860.313.322.282.313.5519.8412.9735.9529.0975.3168.8467.5619.4265.177.7126.8466.0912.1471.8867.4780.5880.9989.6373.1815.27
#6 - textile86.940.000.005.139.23100.00100.002.825.092.8394.910.223.643.021.673.8012.998.7119.1514.8792.0384.9986.447.9789.695.1017.7781.095.3183.5276.7486.8486.9391.0582.994.72
#6 - wood84.340.000.0011.005.87100.00100.000.251.740.2898.260.950.48-9.868.570.6915.3011.8924.0820.6788.2082.9079.6810.9373.806.2421.7473.967.9179.5573.6984.8685.1178.7392.014.73
mean42.770.002.3850.3250.77100.00100.009.1710.4110.9089.590.4410.367.872.2710.4930.9924.7742.4236.1972.1962.0762.0624.4069.6910.8635.3660.7614.2756.2350.8465.1865.4765.0166.518.50
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