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 - all96.440.000.000.000.00100.00100.0027.2827.2829.0972.720.0028.1627.281.0428.176.683.569.866.7496.4493.0993.183.5696.502.3513.3486.574.7789.3586.8492.9692.9692.3093.622.25
#4 - all92.520.000.000.000.00100.00100.0014.8814.9117.8785.090.0116.2514.891.4816.3212.717.2218.6613.1692.5286.0586.727.4891.914.1618.7280.786.8482.5777.3787.2487.2486.4188.093.19
#5 - all81.880.000.009.7716.25100.00100.0031.9032.7636.7267.240.6334.6332.251.8234.6813.069.4419.6015.9891.1583.6185.648.8589.964.7618.4680.267.0980.7774.6085.4585.5389.3281.903.42
#6 - all20.990.000.0074.6275.19100.00100.008.238.2310.6391.770.009.278.230.989.3544.2836.4953.3545.5662.8450.6551.4031.4469.8013.3946.6246.7924.1334.7333.9650.7050.7050.9550.4512.13
#7 - all77.790.000.0016.0713.30100.00100.0015.6316.8417.4483.160.3417.1416.110.2417.1421.5418.2026.9023.5684.1276.8774.6814.9076.427.7824.9573.127.0475.9967.0580.2780.3178.0182.674.69
#8 - all7.780.000.0091.9991.10100.00100.002.592.955.1997.050.073.762.481.043.9142.3739.3555.0252.0061.1151.4448.4035.0165.2914.9944.9751.2316.6938.9632.2748.7949.0943.9254.887.99
#9 - all23.910.000.0073.1973.97100.00100.0015.7315.7317.3884.270.0016.5115.730.5516.5343.2136.7155.2548.7658.1549.4446.4735.6748.6514.8642.1950.7916.9143.9337.2554.2854.3252.2756.457.29
#10 - all0.000.000.00100.00100.00100.00100.000.000.000.00100.000.860.00-4.360.080.0047.3740.0366.2258.8851.9538.5840.4540.4354.5717.6847.9047.0517.0730.3524.8739.8440.6533.2349.747.41
#11 - all23.900.000.0072.7275.15100.00100.005.465.616.9394.390.026.205.510.416.2440.3934.1048.9742.6767.5754.6355.5429.6464.8913.5735.2962.339.3255.3143.4660.5960.6358.6362.695.64
#12 - all7.830.0024.7365.2159.92100.00100.000.330.391.7899.610.100.64-0.241.710.8338.0331.4455.1448.5566.8955.7550.7729.2953.9515.2038.1655.1113.4048.3038.8055.9156.8047.5267.896.30
#6 - bark55.270.000.0035.3339.17100.00100.0025.4327.7626.9272.241.1427.3426.410.3827.3434.5631.8239.3436.6072.1060.8362.7725.9668.5910.9938.2658.0813.0461.6553.8369.9869.9970.5869.397.15
#6 - flowers12.020.000.0085.0385.19100.00100.0019.5419.5426.3980.460.0022.4619.542.8022.7138.2431.1949.4142.3572.1855.7359.5927.8269.8412.5043.5354.1516.6547.4940.6857.8457.9060.6055.319.43
#6 - glass35.720.000.0058.8959.33100.00100.003.763.945.8896.060.024.723.790.854.8228.3119.2343.8334.7573.5461.3558.6023.4476.139.1431.8164.5517.8450.4644.8161.8862.3455.2070.4113.20
#6 - man-made60.230.000.0035.6437.46100.00100.005.756.2910.0593.710.157.745.731.817.9523.3516.4330.6423.7381.9971.7774.0518.0177.937.6426.6071.568.9072.7364.3778.3278.3277.7778.885.64
#6 - nature24.990.000.0073.8869.75100.00100.000.342.600.3597.400.580.61-7.007.710.9528.2817.3758.4947.5854.2745.3743.9730.4260.2011.4739.9251.1531.4228.0631.4347.8350.0667.8736.9312.79
#6 - plants0.000.000.00100.00100.00100.00100.001.813.532.7996.471.343.12-1.791.213.1447.1638.9765.9257.7349.6137.0937.3542.4451.9916.2856.6838.6124.3526.6726.4541.8342.0937.6447.0614.27
#6 - rock0.000.0023.6371.2669.55100.00100.001.525.631.5894.371.232.46-3.196.832.9846.3134.6360.6548.9859.0142.8947.9635.8458.7914.6951.1544.4321.8633.9031.2747.6447.7444.7150.997.80
#6 - stone50.590.000.0048.5447.45100.00100.002.695.122.7194.880.263.542.781.883.7219.4612.5735.6228.7275.0169.2667.3319.3465.517.5226.1966.9211.9672.3067.8980.8781.2889.8673.5215.18
#6 - textile87.680.000.005.138.55100.00100.003.025.073.0494.930.193.803.331.403.9312.168.2217.5613.6392.7586.3187.407.2590.594.8316.8382.054.9284.8178.3987.8987.9691.6284.442.83
#6 - wood84.200.000.0011.005.96100.00100.000.261.740.2998.260.910.49-9.388.170.7115.5512.4224.0420.9188.0982.7179.4911.0573.816.3622.1473.488.1179.0573.1584.4984.7678.2991.774.65
mean42.190.002.4251.4151.36100.00100.009.3110.3011.1589.700.3910.447.912.1210.5730.1523.9741.7235.5472.5662.6762.5923.8970.2710.5134.1961.9514.1256.8751.4465.7366.0365.3467.357.66
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