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

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33 193 33 470.800000 89.607000 351.470000 89.607000 351.470000 259.210000 470.800000 259.210000 38 528.700000 81.336000 409.370000 81.336000 409.370000 250.940000 528.700000 250.940000 43 574.190000 85.471000 454.860000 85.471000 454.860000 255.070000 574.190000 255.070000 48 588.670000 79.268000 469.340000 79.268000 469.340000 248.870000 588.670000 248.870000 53 611.410000 83.403000 492.080000 83.403000 492.080000 253.010000 611.410000 253.010000 58 617.620000 85.471000 498.290000 85.471000 498.290000 255.070000 617.620000 255.070000 63 654.840000 81.336000 523.100000 81.336000 523.100000 255.070000 654.840000 255.070000 68 675.520000 68.928000 533.440000 68.928000 533.440000 244.740000 675.520000 244.740000 73 698.260000 58.589000 554.120000 58.589000 554.120000 234.400000 698.260000 234.400000 78 710.670000 58.589000 566.530000 58.589000 566.530000 234.400000 710.670000 234.400000 83 729.280000 56.521000 585.140000 56.521000 585.140000 232.330000 729.280000 232.330000 88 747.890000 46.182000 603.750000 46.182000 603.750000 221.990000 747.890000 221.990000 93 741.690000 54.454000 591.340000 54.454000 591.340000 230.260000 741.690000 230.260000 98 710.670000 52.386000 560.320000 52.386000 560.320000 228.190000 710.670000 228.190000 103 681.720000 44.114000 531.370000 44.114000 531.370000 230.260000 681.720000 230.260000 108 652.770000 42.046000 502.420000 42.046000 502.420000 228.190000 652.770000 228.190000 113 634.160000 52.386000 471.410000 52.386000 471.410000 250.940000 634.160000 250.940000 118 611.410000 52.386000 438.320000 52.386000 438.320000 257.140000 611.410000 257.140000 123 584.530000 48.250000 411.440000 48.250000 411.440000 253.010000 <