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

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15 180 15 397.000000 460.000000 533.000000 460.000000 533.000000 599.000000 397.000000 599.000000 20 363.590000 489.630000 500.210000 489.630000 500.210000 627.890000 363.590000 627.890000 25 363.590000 489.630000 500.210000 489.630000 500.210000 627.890000 363.590000 627.890000 30 352.620000 495.120000 489.240000 495.120000 489.240000 633.380000 352.620000 633.380000 35 369.080000 593.880000 505.700000 593.880000 505.700000 732.130000 369.080000 732.130000 40 359.930000 511.580000 496.550000 511.580000 496.550000 649.840000 359.930000 649.840000 45 264.830000 548.700000 401.450000 548.700000 401.450000 677.270000 264.830000 677.270000 50 246.010000 533.910000 383.760000 533.910000 383.760000 641.050000 246.010000 641.050000 55 380.650000 606.180000 518.400000 606.180000 518.400000 713.320000 380.650000 713.320000 60 387.730000 769.160000 525.480000 769.160000 525.480000 876.300000 387.730000 876.300000 65 400.230000 601.070000 537.990000 601.070000 537.990000 708.210000 400.230000 708.210000 70 418.660000 602.480000 556.410000 602.480000 556.410000 709.620000 418.660000 709.620000 75 413.840000 532.050000 549.890000 532.050000 549.890000 652.510000 413.840000 652.510000 80 447.300000 538.420000 583.350000 538.420000 583.350000 658.880000 447.300000 658.880000 85 440.930000 496.680000 576.980000 496.680000 576.980000 617.140000 440.930000 617.140000 90 481.080000 527.270000 615.070000 527.270000 615.070000 647.730000 481.080000 647.730000 95 453.360000 541.610000 587.350000 541.610000 587.350000 662.070000 453.360000 662.070000 100 425.630000 558.340000 554.770000 558.340000 554.770000 674.020000 425.630000 674.020000 105 421.040000 575.780000 550.180000 575.780000 550.180000 691.470000 421.040000 691.470000 110 390.740000 587.720000 519.880000 587.720000 519.880000 703.400000 390.740000 <