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 (1.17)
Note: TrainImageDivisionRatio=4, SegmentedPartSize=16
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all92.060.000.000.000.0099.1899.100.330.610.7199.3933.930.65-30.095.050.6514.4211.9417.2914.8192.0685.5485.247.9491.744.9828.2971.499.7178.3374.9485.6785.6884.9786.398.42
#4 - all63.260.000.0024.8630.4797.9498.3725.7728.2932.3871.7117.6330.170.614.7530.2524.5420.2329.3325.0185.4974.7075.0514.5186.107.7834.9964.2613.8564.3958.4873.8073.8174.0773.556.77
#5 - all60.410.000.0037.0135.20100.00100.000.110.220.2299.7818.800.22-48.5012.400.2221.4314.2832.6525.5077.8071.2370.8417.9368.966.6925.9370.9010.0674.1668.0580.9981.0478.0184.209.10
#6 - all21.090.000.0072.0775.78100.00100.000.470.731.2599.2722.470.92-40.1911.570.9637.9726.6657.0045.6956.5646.1248.1732.3663.3611.2139.0257.0020.4040.8436.6953.6954.0660.7948.0717.38
#7 - all22.320.000.0076.9076.40100.00100.000.150.750.2199.2515.000.29-47.1510.940.3734.6725.7145.9637.0066.0959.5755.2127.0958.8510.2432.8463.9613.0156.9448.0264.8865.0260.9669.3512.38
#8 - all13.940.0013.4966.2168.27100.00100.005.027.609.7992.4013.238.52-33.444.218.6140.7430.9753.8744.1061.2448.9052.5830.8663.0112.3036.8962.0912.1549.1839.1056.2156.2758.8253.839.30
#9 - all44.1737.750.0023.8323.8198.7198.1611.5613.5330.1186.477.5917.40-23.8110.1719.4828.3416.3946.6434.6968.3360.5758.5523.5762.079.7727.7468.7511.5858.0548.0864.9365.1370.3260.319.63
#10 - all4.7218.220.0075.2273.84100.00100.002.192.3312.7197.6710.103.83-40.005.175.3446.1535.4657.0046.3154.9842.8044.2936.6959.5912.8034.6963.8811.5843.8733.7150.4250.4449.0851.8313.47
#11 - all0.000.000.00100.00100.00100.00100.005.468.1824.8591.826.739.83-33.208.0112.7248.7038.3962.0351.7252.1339.9739.5440.4554.2214.1736.8661.1512.2638.8329.6545.7445.7446.2845.219.56
#12 - all0.0013.768.4471.2677.45100.00100.005.878.1817.7091.826.069.39-33.137.8811.0239.4729.4755.8445.8555.8844.7148.6532.7059.7211.9429.9867.6710.4147.6136.4053.3753.7760.7247.6110.77
#6 - bark23.170.000.0070.4576.6590.6095.927.7114.4411.4785.5614.3511.86-20.196.1212.3938.1930.3454.0046.1561.1648.8150.9833.9458.8911.5440.1757.8116.6247.4240.4257.5757.9865.3051.4814.68
#6 - flowers11.720.000.0085.0385.9464.1959.6018.8628.5627.6771.449.9024.907.318.1026.3142.4834.0452.2543.8165.6450.2651.6632.1860.2012.0141.8354.7318.4443.7838.3155.4055.4055.3455.4614.65
#6 - glass0.000.0025.6173.3467.14100.00100.003.545.427.4394.5912.996.25-25.4510.696.3438.1921.1956.5539.5560.8050.2851.0429.1764.5011.1238.7358.6218.4443.6038.1355.2155.2155.1655.2610.19
#6 - man-made41.700.0021.7728.9528.67100.00100.009.7516.0411.8483.9613.5513.19-15.8910.8713.5628.4916.3740.8728.7574.9265.0866.7918.4676.568.6630.1568.3312.6459.8251.1367.6667.7270.6464.9312.67
#6 - nature0.0046.9214.6226.2629.4199.0599.114.6311.207.6888.8028.167.92-27.6320.018.6130.9518.1067.1454.2942.2334.6738.9632.8850.4312.4343.2849.1432.6624.1527.5243.1746.2267.1531.8118.74
#6 - plants13.440.0022.4557.1358.77100.00100.000.020.040.0399.9616.180.04-37.406.660.0440.1128.0152.8640.7660.3449.7052.4830.9266.8511.1638.8760.2215.8046.8439.3556.4856.5057.9455.0914.41
#6 - rock14.770.000.0081.5882.9760.4865.3327.1839.2034.8460.8011.7236.1815.377.6936.5946.1539.1155.8448.8059.2944.8444.8037.3460.0812.9845.1953.3718.6038.2032.9349.5549.6352.6246.8211.63
#6 - stone0.0038.530.0053.0759.5093.2588.4920.3823.8441.0376.1615.0928.47-3.7115.7030.3327.9119.3863.8755.3448.0438.7943.7933.5648.8511.8941.3952.0125.2936.6534.6551.4754.3375.7138.9917.63
#6 - textile29.5218.9519.3838.8342.9199.3299.6510.4812.9029.4587.1013.9117.46-18.728.8319.1833.1925.2445.3637.4171.3458.8160.7023.9468.4110.5636.7661.1315.1152.3244.5861.6761.8366.4157.5613.84
#6 - wood0.000.0015.1682.3283.0398.5796.659.1314.6415.9585.3618.9414.35-20.2210.1714.8136.9529.3555.9648.3656.9245.0650.6532.5356.7411.7941.0656.1718.4144.1738.2855.3656.1666.5147.4116.12
mean22.818.717.0557.2258.8195.0695.028.4311.8415.8688.1615.3212.09-23.779.2512.8934.9525.5350.1240.7063.5653.0254.5028.4563.9610.8036.2361.1315.8549.4642.9259.1659.6063.8456.2612.57
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