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 (1.20)
Note: TrainImageDivisionRatio=8, SegmentedPartSize=16
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all62.260.000.0036.2526.5099.6099.573.246.405.5893.6036.955.96-27.153.635.9818.6011.5326.7919.7288.5580.1279.1011.4588.485.7232.4667.2114.0668.7165.8079.3779.3878.3080.4714.84
#4 - all0.000.0043.2447.2750.4760.3752.0227.7947.6953.8152.3118.9238.5823.3417.7842.9528.4924.1059.4055.0152.6149.2742.5430.0755.9211.5852.1336.6733.0830.6036.7753.7755.6642.7372.5221.79
#5 - all35.270.000.0063.6863.39100.00100.000.070.130.1799.8716.460.14-44.589.250.1523.0516.6237.2530.8172.6762.9065.3022.0275.436.8826.6771.8913.8161.5954.4770.5370.7977.1164.9810.57
#6 - all0.000.000.00100.00100.0099.5799.560.190.400.3999.6031.260.39-44.655.660.3943.2131.5857.9846.3554.8542.7345.6134.1454.0012.4743.4349.5721.9239.8937.2654.3054.3155.7152.9513.78
#7 - all56.700.000.0041.1038.9299.7299.371.925.172.2794.8315.923.09-38.967.093.3924.0720.7930.9127.6380.1672.1371.8018.0670.438.2726.5071.077.9272.9363.5977.7477.7775.8079.786.46
#8 - all27.620.0024.3441.3738.2697.1693.2011.9421.7315.8178.2710.8617.17-17.408.8917.8931.1629.3048.4446.5765.4755.8652.6727.5661.9711.1333.4062.7713.6451.6842.5459.6960.3152.2169.6713.36
#9 - all20.9515.210.0061.4158.0098.4497.896.797.5936.1892.413.6911.57-29.7914.2315.7536.1123.6552.1939.7367.2754.6455.9727.5255.8711.8533.6561.7513.2353.1343.9761.0861.1464.0258.399.01
#10 - all23.099.370.0058.9264.10100.00100.000.381.220.5698.789.970.72-39.365.430.8036.6428.7851.1643.3066.9556.5053.6428.3963.1312.2033.0464.8210.1453.2641.8459.0059.2054.5664.238.78
#11 - all0.000.000.00100.00100.00100.00100.002.143.645.1396.369.043.99-42.456.974.1844.8133.8656.7445.7959.1346.4246.8233.5255.9312.9233.6264.3310.8846.9836.1853.1453.1552.3353.9810.31
#12 - all0.000.009.4289.5687.74100.00100.000.521.510.9998.4910.140.99-45.085.431.1143.0333.8462.7153.5252.3039.4143.9237.3150.6114.2935.8961.6911.5940.9631.0047.3347.7854.8841.6112.81
#6 - bark0.0025.450.0070.4571.6187.1088.849.4816.8714.8883.1311.3814.94-18.048.7615.3941.7731.8261.1151.1656.5641.8542.3638.4155.2912.7244.2953.5319.7537.3332.7849.3749.7556.3043.9715.48
#6 - flowers25.670.0024.3445.3646.5495.2993.5211.3920.6114.9279.3910.9516.36-9.7511.0617.0436.0226.5451.8142.3359.4449.7450.4830.6559.2311.5240.1256.7116.1351.0544.1261.2361.2360.8061.6712.03
#6 - glass0.000.000.00100.00100.00100.00100.000.220.420.4599.5811.980.44-28.0914.650.4435.6623.4560.0447.8360.3647.6746.1631.2453.0412.3743.0749.4325.5933.0032.7549.3450.2141.6260.5717.84
#6 - man-made15.380.000.0084.2383.8999.8099.697.1811.3311.2988.6716.7811.30-22.875.9911.3039.2731.3651.8943.9859.6150.6546.9934.7565.2511.5240.1257.7419.0039.8034.7751.6051.6353.6549.6912.01
#6 - nature0.0045.3111.8529.1735.8293.8274.6922.1730.2747.4969.7313.3331.204.8019.5034.6234.4723.4767.1756.1746.0237.9237.6035.8650.8013.5847.2744.7233.3522.2225.8741.1144.3966.0129.8518.85
#6 - plants42.060.0045.480.003.26100.00100.004.9810.215.6789.7919.757.29-33.7710.637.6121.7017.0241.6937.0171.1763.3561.2120.6569.478.7330.4066.5812.8861.4253.1969.4469.9362.1578.699.13
#6 - rock17.130.000.0081.5879.6774.9863.2827.3037.7036.6862.3011.0436.9418.412.7537.0639.1037.4351.2249.5560.4849.9646.8435.1262.2311.8241.1554.4719.5241.2136.5053.4853.6249.9657.5411.32
#6 - stone0.0044.650.0053.0750.00100.00100.002.708.194.2691.8122.574.58-27.0013.925.3330.3817.8561.7849.2553.3339.3546.1230.8942.2311.5740.3049.7226.7734.9535.3552.2453.6467.6242.5628.54
#6 - textile4.670.000.0094.8794.2499.4997.423.918.916.8791.0918.957.04-28.328.547.4430.1022.5647.0739.5373.5463.4857.8024.0570.139.9834.7560.6517.2650.1144.0761.1861.2558.2564.4211.91
#6 - wood38.3250.670.0021.6317.2099.8999.877.3312.068.8087.9425.539.91-31.188.4610.1729.6416.7047.6234.6966.0960.1555.0623.6859.659.5033.0663.1716.4052.5445.9562.9763.2169.0157.9017.33
mean18.469.537.9361.0060.4895.2692.957.5812.6013.6187.4016.2711.13-24.099.4311.9533.3725.1151.2543.0063.3353.2152.4028.7760.9511.0337.2758.4217.8547.1741.9458.3958.9259.6559.2713.81
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