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

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1 156 1 592.700000 72.220000 530.630000 72.220000 530.630000 112.700000 592.700000 112.700000 6 572.380000 81.110000 510.310000 81.110000 510.310000 121.590000 572.380000 121.590000 11 548.260000 88.730000 486.190000 88.730000 486.190000 129.210000 548.260000 129.210000 16 536.830000 93.810000 462.060000 93.810000 462.060000 140.640000 536.830000 140.640000 21 522.860000 101.430000 439.200000 101.430000 439.200000 153.330000 522.860000 153.330000 26 512.700000 112.860000 423.960000 112.860000 423.960000 168.570000 512.700000 168.570000 31 513.970000 126.830000 417.610000 126.830000 417.610000 186.350000 513.970000 186.350000 36 520.320000 138.250000 417.610000 138.250000 417.610000 204.130000 520.320000 204.130000 41 529.210000 150.950000 413.800000 150.950000 413.800000 224.450000 529.210000 224.450000 46 541.910000 167.460000 416.340000 167.460000 416.340000 248.570000 541.910000 248.570000 51 548.260000 187.780000 408.730000 187.780000 408.730000 268.890000 548.260000 268.890000 56 387.400000 204.690000 542.200000 204.690000 542.200000 284.910000 387.400000 284.910000 61 372.490000 221.250000 537.230000 221.250000 537.230000 306.440000 372.490000 306.440000 66 356.760000 237.810000 527.290000 237.810000 527.290000 318.860000 356.760000 318.860000 71 341.860000 248.570000 514.050000 248.570000 514.050000 331.280000 341.860000 331.280000 76 321.160000 251.890000 495.000000 251.890000 495.000000 337.900000 321.160000 337.900000 81 302.120000 246.920000 466.850000 246.920000 466.850000 337.070000 302.120000 337.070000 86 279.760000 241.950000 441.190000 241.950000 441.190000 332.930000 279.760000