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

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25 171 25 120.000000 48.000000 257.000000 48.000000 257.000000 327.000000 120.000000 327.000000 30 155.240000 29.510000 272.970000 29.510000 272.970000 310.800000 155.240000 310.800000 35 167.910000 26.980000 285.650000 26.980000 285.650000 305.730000 167.910000 305.730000 40 172.980000 25.710000 290.710000 25.710000 290.710000 304.460000 172.980000 304.460000 45 172.980000 25.710000 290.710000 25.710000 290.710000 304.460000 172.980000 304.460000 50 172.980000 25.710000 290.710000 25.710000 290.710000 304.460000 172.980000 304.460000 55 164.110000 39.650000 281.840000 39.650000 281.840000 318.400000 164.110000 318.400000 60 164.110000 39.650000 281.840000 39.650000 281.840000 318.400000 164.110000 318.400000 65 160.310000 40.920000 278.040000 40.920000 278.040000 319.670000 160.310000 319.670000 70 152.710000 40.920000 270.440000 40.920000 270.440000 319.670000 152.710000 319.670000 75 152.710000 40.920000 270.440000 40.920000 270.440000 319.670000 152.710000 319.670000 80 153.280000 40.920000 270.440000 40.920000 270.440000 319.670000 153.280000 319.670000 85 153.280000 40.920000 270.440000 40.920000 270.440000 319.670000 153.280000 319.670000 90 111.470000 16.840000 228.620000 16.840000 228.620000 295.590000 111.470000 295.590000 95 105.130000 6.700000 222.290000 6.700000 222.290000 285.450000 105.130000 285.450000 100 100.060000 6.700000 217.220000 6.700000 217.220000 285.450000 100.060000 285.450000 105 87.390000 29.510000 204.540000 29.510000 204.540000