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 (1.2)
Note: TrainImageDivisionRatio=2, SegmentedPartSize=32
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all0.000.000.00100.00100.0077.7831.0231.8142.4559.5657.558.2841.3534.6518.4245.6232.5326.4050.3844.2560.4554.4049.5328.7664.339.8355.8339.1431.1234.8342.3059.4659.9252.9067.8735.34
#4 - all0.000.000.00100.00100.0086.2283.1715.1723.9423.2776.0616.3023.354.259.8623.4744.6939.4054.4049.1156.0945.9944.2834.2159.5512.2054.9042.0227.3432.5334.6651.4751.5648.6454.6622.26
#5 - all85.080.000.009.776.94100.00100.000.550.922.0899.0814.311.09-44.1315.691.2714.6510.5520.5716.4790.7484.2783.459.2686.935.3620.7877.086.6482.7877.4087.2687.2985.2289.414.60
#6 - all23.920.000.0072.0772.57100.00100.0021.3624.1324.6075.8714.3824.36-3.069.4524.3640.5830.3953.3243.1362.2849.4751.7931.1362.4811.9241.5154.0019.6143.8739.2556.3856.6362.2351.5213.11
#7 - all34.930.000.0060.8958.13100.00100.000.471.130.7298.8712.990.88-41.7010.140.9046.6739.7453.6146.6758.5247.4647.5635.0452.8513.8744.4652.5415.5345.6137.9354.9954.9955.2554.7410.85
#8 - all0.000.0021.6777.0875.1999.2699.404.846.8312.0993.1714.348.36-31.595.048.8943.0331.8458.1346.9457.5746.7745.9032.1656.8013.3239.9557.4014.7644.2936.0452.9853.1449.2157.3810.19
#9 - all16.7423.440.0054.4757.1299.9799.9721.6927.7329.3772.275.4126.92-4.119.7827.6730.6621.2551.2241.8161.6054.8353.4327.0055.7811.4032.3664.7412.4752.0642.0359.1960.0070.7850.8510.54
#10 - all15.180.000.0081.4583.91100.00100.000.060.200.0999.8010.270.13-45.605.410.1431.6825.0846.1239.5270.7760.5859.1624.9871.8210.6328.8169.638.6059.2447.1764.1164.1960.9967.568.60
#11 - all0.000.000.00100.00100.00100.00100.005.487.9320.9592.076.758.98-36.377.7911.3747.2534.4666.1553.3646.6638.4835.2739.9349.4015.0039.0257.8113.7235.7227.7943.5043.5741.1146.189.22
#12 - all18.840.000.0078.6777.09100.00100.004.356.269.7993.749.807.49-36.904.437.7539.1826.3354.9642.1258.3548.1049.0731.8656.4911.7129.4067.6910.7647.1036.1753.1253.3458.4148.7110.80
#6 - bark0.000.000.00100.00100.0096.1292.994.0810.307.5389.7014.796.73-29.4210.867.6945.4433.2158.8446.6153.9944.6442.2835.3553.4212.9945.2250.6020.7737.7634.1450.9150.9452.8049.1412.68
#6 - flowers0.000.000.00100.00100.0092.9496.935.0911.806.8788.209.228.64-22.3013.588.9846.5435.5158.8447.8155.8343.3444.6235.4950.5113.6847.6148.6919.1741.2136.3053.2753.2753.6352.918.85
#6 - glass0.000.000.00100.00100.00100.00100.002.043.204.7596.8018.163.82-31.596.163.9041.7929.3754.5642.1461.3850.6451.8329.0960.7512.4643.3754.0017.4945.2939.0956.2156.2457.9454.5915.78
#6 - man-made43.180.000.0045.6355.1595.8294.2810.6715.3923.8484.6115.1216.74-15.6811.3417.9931.9222.4648.6139.1566.0253.6558.4826.5163.7210.6637.1058.8717.0150.3744.0861.1961.3457.1765.8213.09
#6 - nature15.4547.050.0023.0134.5895.4595.402.056.293.8693.7110.083.83-25.6725.364.3430.4617.1862.0448.7654.6539.6050.0029.8353.2912.1442.2547.0432.0627.4232.1948.7050.2764.7839.0213.96
#6 - plants8.610.000.0088.7989.83100.00100.000.971.333.2298.6717.661.88-41.9513.342.0745.8940.4162.2656.7851.6539.7038.1840.2654.8614.3549.9745.6923.4430.8029.3645.3945.8040.0652.3612.29
#6 - rock0.000.000.00100.00100.0094.1592.4911.6020.8817.2779.1218.9618.22-18.115.4718.6347.5142.2858.0652.8355.5443.5240.3639.9954.6813.8548.2048.4120.7234.4230.9947.3247.3246.9447.7120.70
#6 - stone0.0042.6611.8938.8439.0288.8582.4622.8927.2746.2572.7315.1332.492.4915.5034.5527.1018.5961.3652.8448.5440.8744.2032.4345.8811.1938.9753.4324.3339.9337.8554.9157.1175.7543.0618.31
#6 - textile21.290.0025.2650.0149.3186.4473.7634.1844.2044.3655.807.8641.9623.8411.5943.0936.4824.7850.6738.9762.8754.2553.5827.5959.0411.4439.8256.4517.5846.8840.8458.0058.0058.5457.4614.38
#6 - wood28.1717.110.0042.0047.8493.0094.6321.5731.7623.9868.2414.3326.965.3713.9727.4035.1126.2445.5936.7272.6760.5560.3723.8666.8610.8637.8157.1916.7053.7447.7964.6864.6965.8963.5111.52
mean15.576.512.9471.1372.3395.3091.8311.0515.7018.2284.3012.7115.21-17.8811.1616.0037.9628.7753.4844.3060.3150.0650.1730.7458.9711.9440.8755.1218.4944.2939.6756.1556.4857.9155.7213.85
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