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

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1 150 1 461.000000 392.000000 538.000000 392.000000 538.000000 539.000000 461.000000 539.000000 6 457.960000 387.860000 532.140000 387.860000 532.140000 543.260000 457.960000 543.260000 11 450.560000 383.540000 502.450000 383.540000 502.450000 545.110000 450.560000 545.110000 16 426.190000 397.000000 495.740000 397.000000 495.740000 559.850000 426.190000 559.850000 21 417.200000 398.030000 500.810000 398.030000 500.810000 576.690000 417.200000 576.690000 26 403.380000 396.180000 455.030000 396.180000 455.030000 575.360000 403.380000 575.360000 31 356.970000 411.950000 448.150000 411.950000 448.150000 591.700000 356.970000 591.700000 36 341.910000 421.260000 447.730000 421.260000 447.730000 595.570000 341.910000 595.570000 41 334.750000 420.270000 384.810000 420.270000 384.810000 589.220000 334.750000 589.220000 46 285.830000 425.230000 369.250000 425.230000 369.250000 594.260000 285.830000 594.260000 51 260.060000 427.690000 341.040000 427.690000 341.040000 593.010000 260.060000 593.010000 56 205.350000 423.940000 291.820000 423.940000 291.820000 607.700000 205.350000 607.700000 61 167.350000 438.830000 273.970000 438.830000 273.970000 612.740000 167.350000 612.740000 66 150.830000 442.500000 254.370000 442.500000 254.370000 598.640000 150.830000 598.640000 71 160.010000 432.630000 243.900000 432.630000 243.900000 597.820000 160.010000 597.820000 76 161.250000 421.280000 239.070000 421.280000 239.070000 598.480000 161.250000 598.480000 81 144.760000 426.010000 219.050000 426.010000 219.050000 595.980000 144.760000