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

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47 212 47 718.000000 271.000000 762.000000 271.000000 762.000000 389.000000 718.000000 389.000000 52 691.810000 254.120000 725.510000 254.120000 725.510000 376.420000 691.810000 376.420000 57 654.080000 247.660000 698.660000 247.660000 698.660000 366.080000 654.080000 366.080000 62 621.300000 230.770000 665.880000 230.770000 665.880000 349.190000 621.300000 349.190000 67 606.390000 224.810000 650.970000 224.810000 650.970000 343.230000 606.390000 343.230000 72 594.470000 214.870000 627.130000 214.870000 627.130000 321.370000 594.470000 321.370000 77 582.550000 200.960000 615.210000 200.960000 615.210000 307.460000 582.550000 307.460000 82 573.610000 185.070000 606.270000 185.070000 606.270000 291.560000 573.610000 291.560000 87 566.650000 180.100000 598.320000 180.100000 598.320000 274.670000 566.650000 274.670000 92 567.650000 170.160000 599.310000 170.160000 599.310000 264.740000 567.650000 264.740000 97 574.600000 159.230000 606.270000 159.230000 606.270000 253.810000 574.600000 253.810000 102 581.560000 157.250000 613.220000 157.250000 613.220000 240.890000 581.560000 240.890000 107 597.450000 147.310000 629.120000 147.310000 629.120000 230.960000 597.450000 230.960000 112 613.350000 141.350000 645.010000 141.350000 645.010000 225.000000 613.350000 225.000000 117 626.270000 131.420000 657.930000 131.420000 657.930000 215.060000 626.270000 215.060000 122 641.170000 126.450000 672.830000 126.450000 672.830000 210.090000 641.170000 210.090000 127 659.050000 124.460000 688.730000 124.460000 688.730000 200.160000 659.050000 200.160000 132 669.980000 118.500000 699.660000 118.500000 699.660000 194.200000 669.980000 194.200000 137 685.880000 116.510000 715.550000 116.510000 715.550000 192.210000 685.880000 192.210000 142 698.790000 108.560000 728.470000 108.560000 728.470000 184.260000 698.790000 <