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 (1.16)
Note: TrainImageDivisionRatio=4, SegmentedPartSize=16
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all33.880.0059.410.000.0099.1674.9516.1830.8017.3369.2032.1422.18-3.7916.5223.1012.1512.1540.8540.8564.4460.6359.8621.1472.627.0940.2551.2827.6645.6651.4967.9869.7155.6487.3516.44
#4 - all88.400.000.000.000.0099.1999.321.071.762.6898.2431.872.09-47.379.902.1519.3212.8626.1919.7288.4079.2979.4311.6088.675.9326.6972.8911.0471.3765.0778.8478.8580.1877.546.09
#5 - all65.860.000.0025.8128.3647.8141.0242.2445.8450.8254.168.4247.1318.7611.0547.7019.0411.8634.1326.9581.9074.9871.7415.5573.996.6125.6370.5212.8567.3661.4476.1176.2272.1880.498.90
#6 - all28.040.000.0063.4767.6199.8591.1825.8331.1732.5668.8310.1331.17-3.2513.5431.4925.8923.0649.5046.6763.0254.7952.5726.8450.2610.3035.8552.5822.8944.9243.3960.5261.2352.5571.3318.59
#7 - all0.000.000.00100.00100.00100.0099.756.6114.367.5085.6418.699.85-28.468.7810.3844.7140.7467.5463.5644.1535.8434.4046.0043.8115.2648.9239.4127.4324.8125.9441.1942.6232.7855.4218.77
#8 - all0.000.000.00100.00100.0099.9998.112.016.942.4993.0612.583.55-39.599.614.0834.1431.2656.5253.6461.1353.9645.5632.4352.8812.8538.5655.3316.7644.3537.0554.0755.2544.8568.0713.38
#9 - all0.000.000.00100.00100.00100.0084.885.6413.629.0086.3816.5810.13-29.579.1110.6939.0837.0764.4662.4549.2540.6137.9239.4440.7915.0342.6843.0224.7928.8528.1943.9844.8636.7654.7318.43
#10 - all15.650.000.0081.4583.14100.0081.664.0616.644.2783.366.976.75-25.0411.818.3823.8522.5364.3863.0546.5443.6738.3934.2346.3813.6336.9254.3220.8234.7329.1345.1249.2532.2175.3315.61
#11 - all0.000.0014.7583.3381.74100.00100.000.954.071.1095.938.671.73-43.899.452.1137.2231.9971.7666.5344.3836.5131.1042.5739.6616.0941.8648.2621.8025.4322.5836.8339.1327.5455.6014.86
#12 - all0.000.000.00100.00100.00100.00100.000.807.550.8092.456.811.45-38.6818.532.4624.4519.2575.2570.0539.6231.9930.2340.8633.4916.3240.9739.2047.399.4516.1327.7935.3717.1772.8622.03
#6 - bark0.000.000.00100.00100.00100.0092.6020.0925.0030.4775.009.2624.93-12.4914.7426.1836.6323.9958.4345.7960.9345.9249.2132.7652.9211.8641.3050.3625.0933.2733.0349.6550.0244.3056.4719.51
#6 - flowers0.000.000.00100.00100.0094.3564.8920.7138.3636.8461.6418.9530.587.5420.4933.9028.8822.3871.6465.1447.4837.9731.7136.7439.6014.5950.8027.3549.089.8622.8937.2642.2625.3170.5720.93
#6 - glass22.800.0025.8543.1743.0499.9799.9411.8712.7525.0387.2519.1116.78-30.8811.9717.8032.3924.3649.2541.2269.5556.9655.7126.0864.9810.2235.5959.7517.5349.8143.9061.0161.2456.2366.6910.70
#6 - man-made41.700.0023.0228.9524.9699.6199.6610.3511.0128.1889.0017.1615.67-33.4910.3417.5231.6520.7843.5632.6968.8761.4358.1323.1072.069.6033.4264.6715.4551.7744.3461.4361.4462.4960.4211.91
#6 - nature0.000.0011.9587.5287.1558.9856.9530.7641.2367.4658.778.3043.8711.8419.2948.6535.0123.6767.0655.7346.7837.4937.5235.8151.6813.3546.4645.7633.8221.1025.1640.2043.4564.7729.1521.68
#6 - plants26.500.0022.4446.6242.0297.5196.208.0913.138.4486.8714.2010.22-30.3010.6510.5020.5520.4045.0844.9466.8364.8554.7924.5566.619.1431.8463.6015.2956.6549.4066.1367.1856.2480.2511.09
#6 - rock17.830.000.0081.5881.27100.00100.0011.1812.1314.7987.8815.6213.31-26.078.6813.3833.0127.1046.4340.5266.2255.6355.2527.4870.4210.4233.4163.7114.4450.9242.4859.6359.8865.5554.699.55
#6 - stone25.8043.490.0019.4123.13100.00100.0013.5018.4249.1381.5813.7121.57-22.3720.2426.9929.5415.3460.0045.8053.2742.1243.9030.7144.7310.8737.8352.8326.5535.5635.8352.7654.1467.9943.1023.29
#6 - textile14.030.000.0085.4281.30100.0098.860.912.791.2097.2110.021.67-45.8219.001.8334.4034.3663.3963.3545.2940.4434.5641.5345.9713.7547.8637.2632.5223.3628.1643.9445.6634.5560.3612.28
#6 - wood35.3829.660.0024.8128.2796.1097.5920.2827.4521.7672.5520.5024.09-8.838.7224.3424.1716.5440.4732.8471.3565.3361.5920.8370.538.4429.3867.9815.1255.7048.3965.2265.6073.0958.8814.41
mean20.793.667.8763.5863.6094.6388.8812.6618.7520.5981.2514.9816.94-21.5913.1218.1829.3023.5854.7949.0758.9751.0248.1830.5156.1011.5738.3153.0023.9239.2537.7053.4855.1750.1263.9615.42
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