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

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15 175 15 339.000000 669.000000 731.000000 669.000000 731.000000 886.000000 339.000000 886.000000 20 338.790000 669.220000 730.970000 669.220000 730.970000 886.350000 338.790000 886.350000 25 328.790000 669.220000 720.970000 669.220000 720.970000 886.350000 328.790000 886.350000 30 313.790000 669.220000 705.970000 669.220000 705.970000 886.350000 313.790000 886.350000 35 313.790000 669.220000 705.970000 669.220000 705.970000 886.350000 313.790000 886.350000 40 274.840000 669.220000 698.460000 669.220000 698.460000 883.910000 274.840000 883.910000 45 274.840000 669.220000 698.460000 669.220000 698.460000 883.910000 274.840000 883.910000 50 254.840000 669.220000 678.460000 669.220000 678.460000 883.910000 254.840000 883.910000 55 249.840000 669.220000 673.460000 669.220000 673.460000 883.910000 249.840000 883.910000 60 239.840000 664.220000 663.460000 664.220000 663.460000 878.910000 239.840000 878.910000 65 234.840000 664.220000 658.460000 664.220000 658.460000 878.910000 234.840000 878.910000 70 224.840000 659.220000 648.460000 659.220000 648.460000 873.910000 224.840000 873.910000 75 281.160000 659.220000 643.460000 659.220000 643.460000 894.630000 281.160000 894.630000 80 275.970000 659.220000 633.580000 659.220000 633.580000 894.630000 275.970000 894.630000 85 265.550000 659.220000 623.160000 659.220000 623.160000 894.630000 265.550000 894.630000 90 263.470000 666.160000 611.010000 666.160000 611.010000 901.580000 263.470000 901.580000 95 263.470000 666.160000 611.010000 666.160000 611.010000 901.580000 263.470000 901.580000 100 263.470000 679.900000 611.010000 679.900000 611.010000 915.320000 263.470000 915.320000 105 275.240000 676.540000 642.850000 676.540000 642.850000 919.440000 275.240000 <