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 (1.21)
Note: TrainImageDivisionRatio=4, SegmentedPartSize=32
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all93.590.000.000.000.0099.8899.880.100.180.2299.8233.790.20-30.414.830.2011.899.6414.3412.0993.5988.0687.926.4193.414.1723.7176.128.0482.0478.7788.1388.1387.4788.796.52
#4 - all86.260.000.000.000.0098.7998.8427.1928.6333.6571.3717.0730.931.553.6531.0423.6918.9528.5323.8086.2675.9175.8713.7486.057.4433.4865.9312.6167.4161.2275.9575.9576.9175.006.64
#5 - all40.6733.5649.440.003.26100.00100.0010.5923.6510.8776.3515.0814.89-10.2717.7116.0317.167.4649.0839.3864.3257.0357.6821.2062.618.7133.7658.2325.7343.6044.2261.3263.0949.6480.189.69
#6 - all21.810.000.0072.0775.8694.6893.204.008.196.8891.8116.177.19-25.6513.437.3640.6634.2456.6950.2759.8944.6848.0734.6353.0812.9044.9050.4319.9542.5138.0855.1655.4761.6749.8916.42
#7 - all0.000.000.00100.00100.0099.0098.553.289.144.8590.8612.135.74-32.4612.036.2648.4240.1456.8448.5658.4745.2648.3035.5155.9914.4646.3449.6018.5237.8732.5949.1649.2246.8951.6711.34
#8 - all16.070.000.0081.8481.73100.00100.007.9811.6712.4388.3311.8011.89-26.996.1711.9747.4240.9953.9847.5558.4545.2848.4435.6558.6314.2542.7555.2013.5245.7736.6953.6853.6853.2954.0710.52
#9 - all16.870.000.0082.6282.3898.4598.1314.2421.5028.8178.509.7721.88-12.917.2923.4535.5725.8956.5246.8454.9946.6749.2333.7050.6512.6635.9560.5814.1945.8136.9653.9754.6163.7446.7910.71
#10 - all0.000.000.00100.00100.00100.00100.004.336.186.9093.827.986.36-29.595.706.4548.9939.7965.4256.2249.4839.0637.0740.9649.6615.4341.7955.1014.4235.8628.2144.0044.3139.3749.8711.72
#11 - all15.840.0014.3967.9061.84100.00100.008.919.9219.7690.086.8812.90-30.646.0113.8239.4330.8754.5245.9663.2551.7049.6430.6361.4912.5932.7464.4011.2646.7936.2153.1753.2350.6755.928.08
#12 - all24.9118.990.0049.6451.17100.00100.001.472.573.1197.439.092.75-44.987.922.7940.5127.2455.3342.0658.9848.0049.8130.3551.3912.9932.6063.6011.0749.0938.3255.4155.4155.8654.978.79
#6 - bark24.940.000.0071.6469.0891.1395.134.7911.455.6788.5511.247.54-22.3011.898.0337.6026.1153.0141.5267.4454.1954.2328.8460.6011.5940.3656.2317.4547.8541.7658.9258.9560.8257.1313.93
#6 - flowers0.000.000.00100.00100.0092.7095.196.0313.488.0086.5211.419.87-16.969.8110.2953.9741.1470.9458.1141.6230.3831.6844.6042.4216.7958.4737.4525.6421.9223.5338.0938.0937.9838.2112.72
#6 - glass0.000.0024.9973.3468.96100.00100.003.254.578.4695.4313.125.80-27.6212.226.1339.1326.5553.6341.0666.2151.9853.9729.3562.9611.4639.8856.8618.1045.3639.6756.8056.8155.7957.869.89
#6 - man-made9.270.000.0090.0088.8292.7684.225.159.5013.4990.5012.589.60-19.4410.9110.4938.6332.2852.2945.9467.1655.2949.0130.8068.4911.9841.7155.0419.6740.8636.3453.3053.3351.6155.1112.92
#6 - nature0.0046.630.0041.6552.5099.9399.966.297.0321.8892.9720.8710.45-21.5118.8212.2631.7820.3359.8448.4061.8344.9651.8230.4857.6712.1042.1347.5728.1236.2137.6554.7156.6073.5743.5415.93
#6 - plants25.800.000.0071.2767.93100.00100.001.122.142.0897.8615.152.11-35.339.502.1143.0337.0250.2144.2062.5951.1550.9031.7064.5012.5243.5854.7717.1943.6437.1954.2254.2253.7254.7310.19
#6 - rock0.000.000.00100.00100.0079.1376.4025.2337.1131.8362.8911.0534.0313.467.9334.2548.9343.1758.4352.6757.4545.8740.7241.0360.9314.1649.3148.7520.1634.1030.2946.5046.5348.2144.919.06
#6 - stone0.0044.600.0053.0750.8991.6184.7827.7630.3479.8869.662.8636.825.2521.2043.7228.7017.1859.2447.7355.0942.3646.3730.2749.7210.9338.0552.7725.6737.8937.6154.6655.9769.6444.9917.29
#6 - textile0.000.0020.3177.3077.8570.6273.1021.5533.1145.0766.8913.4133.594.049.3136.1146.2332.8862.4049.0551.1441.0140.5535.7753.7913.8848.3247.7023.1630.1428.8644.7944.7945.0944.4912.08
#6 - wood36.8533.100.0021.6323.2399.7799.725.736.699.2393.3122.977.75-32.258.957.8625.5721.0043.8639.2867.0358.3858.0225.4162.519.2532.1965.3814.7955.6147.8264.7065.4476.0556.3014.41
mean20.648.845.4662.7062.7895.4294.859.4513.8517.6586.1513.7213.61-19.7510.2614.5337.3628.6452.7544.0362.2650.8651.4730.5560.3312.0140.1056.0917.9644.5239.6055.8356.1957.9055.2211.44
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