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

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4 253 4 470.790000 131.390000 447.680000 131.390000 447.680000 228.000000 470.790000 228.000000 14 472.810000 130.470000 448.260000 130.470000 448.260000 229.960000 472.810000 229.960000 24 472.810000 130.470000 448.260000 130.470000 448.260000 229.960000 472.810000 229.960000 34 472.810000 130.470000 448.260000 130.470000 448.260000 229.960000 472.810000 229.960000 44 472.810000 130.470000 448.260000 130.470000 448.260000 229.960000 472.810000 229.960000 54 461.860000 132.300000 437.310000 132.300000 437.310000 231.790000 461.860000 231.790000 64 459.120000 131.380000 434.570000 131.380000 434.570000 230.870000 459.120000 230.870000 74 410.760000 128.640000 386.210000 128.640000 386.210000 228.130000 410.760000 228.130000 84 367.870000 130.470000 343.320000 130.470000 343.320000 229.960000 367.870000 229.960000 94 314.030000 128.640000 289.480000 128.640000 289.480000 228.130000 314.030000 228.130000 104 301.250000 129.560000 276.700000 129.560000 276.700000 229.050000 301.250000 229.050000 114 269.310000 129.560000 244.760000 129.560000 244.760000 229.050000 269.310000 <