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

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72 233 72 186.000000 195.000000 378.000000 195.000000 378.000000 617.000000 186.000000 617.000000 77 226.310000 195.340000 417.890000 195.340000 417.890000 622.040000 226.310000 622.040000 82 283.370000 191.540000 474.950000 191.540000 474.950000 618.240000 283.370000 618.240000 87 327.120000 195.340000 518.700000 195.340000 518.700000 622.040000 327.120000 622.040000 92 356.360000 195.340000 547.940000 195.340000 547.940000 622.040000 356.360000 622.040000 97 371.360000 190.340000 562.940000 190.340000 562.940000 617.040000 371.360000 617.040000 102 411.360000 190.340000 602.940000 190.340000 602.940000 617.040000 411.360000 617.040000 107 456.360000 190.340000 647.940000 190.340000 647.940000 617.040000 456.360000 617.040000 112 501.360000 190.340000 692.940000 190.340000 692.940000 617.040000 501.360000 617.040000 117 551.360000 190.340000 742.940000 190.340000 742.940000 617.040000 551.360000 617.040000 122 581.360000 185.340000 772.940000 185.340000 772.940000 612.040000 581.360000 612.040000 127 606.360000 185.340000 797.940000 185.340000 797.940000 612.040000 606.360000 612.040000 132 606.360000 185.340000 797.940000 185.340000 797.940000 612.040000 606.360000 612.040000 137 646.360000 190.340000 837.940000 190.340000 837.940000 617.040000 646.360000 617.040000 142 661.360000 190.340000 852.940000 190.340000 852.940000 617.040000 661.360000 617.040000 147 676.360000 190.340000 867.940000 190.340000 867.940000 617.040000 676.360000 617.040000 152 711.360000 190.340000 902.940000 190.340000 902.940000 617.040000 711.360000 617.040000 157 731.360000 190.340000 922.940000 190.340000 922.940000 617.040000 731.360000 617.040000 162 751.360000 190.340000 942.940000 190.340000 942.940000 617.040000 751.360000 617.040000 167 781.360000 190.340000 972.940000 190.340000 972.940000 617.040000 781.360000 617.0400