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 byveselj38's Histogram ratio features (1.7)
Note: TrainImageDivisionRatio=16, SegmentedPartSize=32
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all36.020.0055.260.005.4514.4546.5650.2265.6851.9534.3215.4357.4851.2412.1358.1415.6713.3438.5236.1967.9363.4962.8619.9274.007.0540.0255.2522.9153.0755.4771.3572.2861.5584.875.42
#4 - all0.000.000.00100.00100.0098.5498.725.219.069.4190.9426.109.21-23.466.629.2227.1416.8139.5829.2581.3069.3167.9418.7080.358.0436.1962.4616.6957.9653.1769.4369.4567.5571.4110.32
#5 - all62.820.000.0025.8133.39100.00100.0021.0524.1221.9375.898.6322.96-5.929.4622.9925.4720.0134.6429.1981.8269.5372.0618.1879.087.8830.5467.4212.4266.1259.0874.2874.3878.4570.529.13
#6 - all0.000.000.00100.00100.00100.00100.000.971.632.1998.3715.861.87-31.8914.241.8940.7328.0556.3843.7062.7247.6749.2231.3854.0311.9241.5052.9021.6040.4637.5654.6154.6456.5052.8514.09
#7 - all12.640.0036.1741.9342.05100.00100.000.360.770.7299.2315.420.69-44.3912.440.7240.0030.2857.5047.7756.7746.4447.1431.6059.9313.0541.8553.6719.1841.4936.2353.1953.8346.1062.869.64
#8 - all15.950.000.0081.8480.6397.6097.733.374.5415.0895.4612.716.23-38.208.087.7442.3334.1953.8345.7062.9351.1249.0831.5558.0713.2739.8158.0913.0548.7939.3456.4656.4954.6358.427.81
#9 - all34.240.009.6650.3352.16100.00100.006.8812.329.5987.6813.9010.48-24.725.3710.7131.6322.3347.0337.7369.7757.6259.2625.4759.1210.7730.5666.0211.8555.7045.5762.6163.0871.3055.818.91
#10 - all0.0014.9913.1365.1569.0699.7999.836.147.0911.8392.917.328.62-29.426.949.0341.5730.8357.3446.6059.3448.2148.2532.5860.5012.8534.8263.3011.3646.9536.4153.3853.5050.0057.2510.69
#11 - all17.920.0015.2260.8159.5699.4799.735.1410.7513.4989.256.958.45-30.529.139.8242.6532.4558.6248.4260.2847.4347.2333.2957.3213.7235.6961.5411.9843.9734.0150.7650.8547.9053.998.29
#12 - all9.3518.288.8157.5059.47100.00100.000.652.710.9397.298.631.13-44.517.551.4336.2724.5956.4644.7860.1048.5650.5729.9757.6512.3330.9666.4810.2149.6338.2455.3355.5861.1550.529.90
#6 - bark41.0525.0815.226.833.3599.0799.180.952.061.9497.9417.441.86-37.527.301.9332.4322.7742.9833.3168.8259.8159.7821.5164.4310.0535.0061.4914.6456.9149.5466.2666.2666.9365.618.76
#6 - flowers25.0422.2020.8020.3122.9295.9796.214.7710.798.2689.2115.638.02-30.4610.678.7336.1423.0150.4337.3066.6557.1055.5025.7161.6411.6240.4456.4515.4952.9045.6362.6762.6762.4062.9310.15
#6 - glass0.000.000.00100.00100.00100.00100.000.010.040.0299.9616.190.02-36.289.890.0245.3234.6459.7649.0751.0345.4341.5036.2252.6313.3846.6050.9919.8836.9732.7149.3049.3651.8446.9913.48
#6 - man-made66.240.000.0029.8624.4699.8699.7522.7324.5024.0275.5010.3624.232.537.9924.2520.2115.6230.0425.4583.7975.6072.2515.9076.017.0724.6372.968.8374.0366.1779.6479.7975.1084.766.84
#6 - nature64.0451.5211.9310.5315.3295.3198.9720.9125.3822.2274.6214.1523.09-9.2026.8623.4219.7012.0636.5328.8876.7565.7272.1016.1667.627.7026.8065.3615.2666.4163.4277.6278.4490.7067.8410.08
#6 - plants16.670.000.0082.4782.3599.6196.937.0512.5710.8687.4316.0911.19-23.679.8811.4140.9737.6151.2147.8660.2449.5347.5135.8063.5212.7744.4552.9519.0239.5934.5851.3851.4548.9854.0411.71
#6 - rock18.0913.530.0065.2765.2894.6693.5329.9136.2134.5963.7910.5035.1415.637.2835.2729.6620.9142.0433.2874.5962.8163.7221.2172.209.3132.4065.4713.7756.4448.1665.0165.0264.4265.628.58
#6 - stone0.0043.030.0053.0752.5398.0288.5323.6627.0741.9972.938.0730.093.2619.0331.9727.5118.9355.0246.4461.9246.1652.7127.1250.2710.1235.2355.9022.8744.5742.2859.4360.9376.2448.7012.46
#6 - textile60.4424.7921.115.1310.2999.6799.383.228.634.1691.3716.195.14-24.5512.335.7323.4614.9736.7628.2778.9369.3969.8716.5675.118.3429.0468.1511.5165.4257.1372.7272.7272.8072.647.46
#6 - wood28.770.000.0062.8671.09100.00100.0010.5212.8021.3787.2017.3515.64-18.4011.8816.3334.3827.3252.5145.4660.0348.7553.7631.2453.0410.9738.1857.7117.3550.1344.1261.2361.4166.2756.9013.47
mean25.4610.6710.3750.9852.4794.6095.7511.1914.9415.3385.0613.6514.08-19.0210.7514.5432.6624.0447.8639.2367.2956.4857.1226.0063.8310.6135.7360.7315.4952.3845.9462.3362.6163.5462.239.86
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