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 (1.4)
Note: TrainImageDivisionRatio=32, SegmentedPartSize=32
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all94.650.000.000.000.00100.00100.000.020.040.0499.9633.640.04-30.415.080.049.937.1812.8510.0994.6589.9089.805.3594.553.4619.6480.206.8484.7481.6889.9189.9289.1090.745.03
#4 - all22.250.000.0077.5970.4897.8298.267.919.6022.5290.4023.1113.19-26.1413.2814.5540.7330.8054.9645.0264.3854.1948.0231.6760.1312.3355.4642.4524.9337.5337.6554.7054.7352.8256.7213.07
#5 - all24.690.0034.7537.8726.58100.00100.000.691.131.6098.8710.891.32-25.795.621.3429.3313.7849.1633.6169.0658.9857.0922.4670.409.3236.1359.8723.0941.6140.2157.3657.4754.0761.0716.25
#6 - all0.000.000.00100.00100.00100.00100.000.952.362.2097.6416.521.84-42.3416.372.0343.7835.7961.1253.1255.6943.4843.7137.8851.4414.0048.7646.5922.3435.1532.6449.2149.5655.8044.0213.80
#7 - all13.0221.770.0060.8963.3798.7798.591.903.583.9296.4214.323.64-38.556.583.6937.2233.3649.5645.6962.9450.8254.9728.7961.1712.3439.5558.7413.7049.9840.9858.1458.2461.8154.8811.31
#8 - all44.700.000.0045.1845.60100.00100.000.982.111.8397.8913.391.90-41.044.651.9337.9734.8046.8243.6568.8357.0156.0627.7963.4012.4437.3159.9711.9053.8743.7560.8760.9458.1263.908.07
#9 - all17.970.000.0077.5481.2399.3399.0010.2614.4823.3885.528.5116.09-21.229.1817.4336.8628.5957.3449.0757.4645.8349.4734.0155.6913.0837.1359.1915.2542.2434.2951.0751.5859.4344.779.77
#10 - all0.000.000.00100.00100.00100.00100.000.741.921.0598.088.231.35-40.608.461.4145.8732.8661.1548.1356.0645.0543.0836.1156.3613.7137.1560.9312.7341.2631.9848.4648.6244.8852.668.69
#11 - all6.9612.310.0077.4876.03100.00100.005.427.5911.8992.418.849.10-37.586.039.4247.4640.0959.5652.1955.6643.3943.0337.5255.7814.6037.9959.6212.0540.8031.2447.6147.6147.3347.898.70
#12 - all8.510.000.0088.7590.25100.00100.000.552.440.6397.5610.080.93-43.305.661.1938.4030.7856.5148.8957.3845.1848.6332.5755.3812.4431.2266.4510.6146.6535.6252.5352.9159.6546.939.84
#6 - bark42.4427.630.0025.1020.4998.8799.530.952.191.6797.8112.171.82-40.9713.461.8726.6321.9537.5532.8773.4765.4964.8019.6169.728.8230.7267.0111.7764.4556.1071.8871.9675.4168.666.99
#6 - flowers25.630.000.0070.7569.9291.9993.433.859.455.6190.5511.836.76-29.4013.107.1239.8129.2152.8142.2060.3553.5248.5329.9856.4812.5343.6153.6616.5149.0742.2859.4359.4460.3358.5510.76
#6 - glass0.000.000.00100.00100.00100.00100.002.002.497.0197.5113.133.67-30.5713.624.1737.6025.8352.8641.1068.0255.2053.6227.3663.5011.5340.1455.9618.5045.5740.1957.3457.4154.5560.4213.86
#6 - man-made51.590.000.0045.6338.8899.9699.9921.5224.4022.4975.606.3723.403.3612.6823.4224.1319.1537.4332.4576.0368.1366.8718.9573.648.5329.7166.9311.8766.1458.3773.7174.0767.1681.687.20
#6 - nature18.0051.3811.1410.5311.8194.0797.1418.5925.9919.1174.018.1921.92-3.2726.1122.2322.4112.8847.2037.6770.8159.2263.2120.0773.018.9331.1160.9822.2949.6747.7764.6566.5484.7152.2714.12
#6 - plants16.750.0023.2257.1354.28100.00100.008.3410.9518.3289.0512.6113.52-20.3210.1614.0737.7131.2756.0949.6554.4446.2345.0533.6059.9012.7444.3652.3019.6939.6135.0051.8552.0647.5756.9714.16
#6 - rock16.030.000.0081.5882.2952.2444.4140.7048.5959.9451.416.8753.0035.294.8453.6343.0231.6054.7543.3458.8345.6546.6634.4960.4712.1442.2855.3919.0839.2334.3051.0851.0851.0851.0812.94
#6 - stone0.0042.890.0053.0751.9191.2491.9120.7924.4237.2975.5812.9728.38-1.2017.0429.5627.6819.3961.2052.9255.1540.8647.0630.5148.4411.4539.8652.8424.2440.1237.9455.0157.2576.1043.0714.40
#6 - textile15.510.0021.8258.0055.7497.3895.339.5515.4333.9384.5715.0215.61-21.2513.4919.5933.2118.9451.4737.2066.4756.7953.2626.2067.2310.4736.4460.4517.9346.4140.6457.8057.8057.4558.1412.73
#6 - wood35.7631.7417.643.950.0099.1798.685.8312.267.4187.7422.498.62-27.9510.649.2030.9616.5352.8738.4558.9452.3449.2926.8857.1510.4636.4160.4218.9344.1538.8755.9856.3963.6149.9920.53
mean22.729.395.4358.5556.9496.0495.818.0811.0714.0988.9313.4611.31-24.1610.8011.9034.5325.7450.6641.8664.2353.8653.6128.0962.6911.2737.7559.0016.7147.9142.0858.4358.7861.0557.2211.61
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