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

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1 140 1 454.000000 451.000000 854.000000 451.000000 854.000000 630.000000 454.000000 630.000000 6 470.410000 461.680000 901.050000 461.680000 901.050000 640.050000 470.410000 640.050000 11 487.480000 469.060000 946.540000 469.060000 946.540000 644.830000 487.480000 644.830000 16 487.480000 461.150000 989.850000 461.150000 989.850000 643.130000 487.480000 643.130000 21 508.140000 430.370000 1043.400000 430.370000 1043.400000 611.760000 508.140000 611.760000 26 537.190000 442.770000 1093.000000 442.770000 1093.000000 619.830000 537.190000 619.830000 31 559.920000 429.830000 1097.100000 429.830000 1097.100000 599.260000 559.920000 599.260000 36 566.040000 407.940000 1035.200000 407.940000 1035.200000 585.050000 566.040000 585.050000 41 564.130000 342.570000 969.390000 342.570000 969.390000 553.830000 564.130000 553.830000 46 556.420000 317.890000 893.310000 317.890000 893.310000 546.100000 556.420000 546.100000 51 546.410000 297.280000 804.900000 297.280000 804.900000 527.760000 546.410000 527.760000 56 542.600000 302.680000 804.560000 302.680000 804.560000 506.590000 542.600000 506.590000 61 558.780000 322.910000 843.500000 322.910000 843.500000 506.590000 558.780000 506.590000 66 573.360000 341.130000 874.620000 341.130000 874.620000 505.130000 573.360000 505.130000 71 577.990000 339.180000 887.520000 339.180000 887.520000 520.920000 577.990000