ALOV300++ Dataset
by 'Amsterdam Library of Ordinary Videos for evaluating visual trackers robustness'

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10 148 10 962.140000 592.190000 901.870000 592.190000 901.870000 657.420000 962.140000 657.420000 15 973.180000 586.320000 912.910000 586.320000 912.910000 651.550000 973.180000 651.550000 20 988.370000 575.620000 928.100000 575.620000 928.100000 640.850000 988.370000 640.850000 25 1003.200000 569.760000 942.940000 569.760000 942.940000 634.990000 1003.200000 634.990000 30 1019.800000 563.540000 959.510000 563.540000 959.510000 628.770000 1019.800000 628.770000 35 1032.900000 587.010000 972.620000 587.010000 972.620000 652.240000 1032.900000 652.240000 40 1049.100000 590.120000 988.840000 590.120000 988.840000 655.350000 1049.100000 655.350000 45 1064.000000 587.360000 1003.700000 587.360000 1003.700000 652.590000 1064.000000 652.590000 50 1075.000000 587.010000 1014.700000 587.010000 1014.700000 652.240000 1075.000000 652.240000 55 1088.100000 584.940000 1027.800000 584.940000 1027.800000 650.170000 1088.100000 650.170000 60 1092.600000 580.800000 1032.300000 580.800000 1032.300000 646.030000 1092.600000 646.030000 65 1072.200000 575.620000 1012.000000 575.620000 1012.000000 640.850000 1072.200000 640.850000 70 1056.700000 564.230000 996.440000 564.230000 996.440000 629.460000 1056.700000 629.460000 75 1047.700000 558.710000 987.460000 558.710000 987.460000 623.940000 1047.700000 623.940000 80 1050.800000 550.430000 990.570000 550.430000 990.570000 615.660000 1050.800000 615.660000