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

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1 141 1 1272.500000 189.900000 1191.800000 189.900000 1191.800000 273.700000 1272.500000 273.700000 6 1214.900000 212.070000 1134.200000 212.070000 1134.200000 295.870000 1214.900000 295.870000 11 1190.500000 223.150000 1109.800000 223.150000 1109.800000 306.950000 1190.500000 306.950000 16 1170.500000 213.150000 1089.800000 213.150000 1089.800000 296.950000 1170.500000 296.950000 21 1130.500000 218.150000 1049.800000 218.150000 1049.800000 301.950000 1130.500000 301.950000 26 1069.900000 205.940000 986.990000 205.940000 986.990000 303.040000 1069.900000 303.040000 31 1059.900000 260.940000 976.990000 260.940000 976.990000 358.040000 1059.900000 358.040000 36 1036.800000 298.190000 953.870000 298.190000 953.870000 408.130000 1036.800000 408.130000 41 996.070000 327.270000 901.520000 327.270000 901.520000 454.670000 996.070000 454.670000 46 936.070000 377.270000 841.520000 377.270000 841.520000 504.670000 936.070000 504.670000 51 894.550000 422.330000 783.150000 422.330000 783.150000 548.040000 894.550000 548.040000 56 821.200000 477.330000 703.150000 477.330000 703.150000 611.350000 821.200000 611.350000 61 741.420000 532.280000 614.500000 532.280000 614.500000 680.490000 741.420000 680.490000 66 645.360000 610.700000 494.920000 610.700000 494.920000 760.870000 645.360000 760.870000 71 512.270000 680.230000 337.990000 680.230000 337.990000 854.230000 512.2700