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

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49 785.49 521.79 704.8 521.79 704.8 602.49 785.49 602.49 54 775.49 516.79 694.8 516.79 694.8 597.49 775.49 597.49 59 775.49 516.79 694.8 516.79 694.8 597.49 775.49 597.49 64 760.49 506.79 679.8 506.79 679.8 587.49 760.49 587.49 69 755.49 506.79 674.8 506.79 674.8 587.49 755.49 587.49 74 735.49 501.79 654.8 501.79 654.8 582.49 735.49 582.49 79 755.49 491.79 674.8 491.79 674.8 572.49 755.49 572.49 84 780.49 481.79 699.8 481.79 699.8 562.49 780.49 562.49 94 813.58 469.51 732.89 469.51 732.89 550.21 813.58 550.21 99 833.58 449.51 752.89 449.51 752.89 530.21 833.58 530.21 104 833.58 419.51 752.89 419.51 752.89 500.21 833.58 500.21 109 832.12 389.51 742.89 389.51 742.89 469.15 832.12 469.15 114 837.12 359.51 747.89 359.51 747.89 439.15 837.12 439.15 119 817.12 339.51 727.89 339.51 727.89 419.15 817.12 419.15 124 817.12 329.51 727.89 329.51 727.89 409.15 817.12 409.15 129 877.12 334.51 787.89 334.51 787.89 414.15 877.12 414.15 134 967.39 356.11 871.31 356.11 871.31 444.17 967.39 444.17 139 997.09 395.13 901.01 395.13 901.01 483.19 997.09 483.19 144 1052.4 444.63 956.34 444.63 956.34 532.69 1052.4 532.69 149 1083.9 470.84 987.79 470.84 987.79 558.9 1083.9 558.9 154 1092 481.91 995.95 481.91 995.95 569.97 1092 569.97 159 1100.8 489.48 1004.7 489.48 1004.7 577.54 1100.8 577.54 164 1110.1 489.48 1014 489.48 1014 577.54 1110.1 577.54 169 1100.1 484.48 1004 484.48 1004 572.54 1100.1 572.54 174 1085.1 484.48 989 484.48 989 572.54 1085.1 572.54 179 1070.1 484.48 974 484.48 974 572.54 1070.1 572.54 184 1065.1 489.48 969 489.48 969 577.54 1065.1 577.54 189 1045.1 489.48 949 489.48 949 577.54 1045.1 577.54 194 1015.1 489.48 919 489.48 919 577.54 1015.1 577.54 199 990.08 489.48 894 489.48 894 577.54 990.08 577.54 204 975.08 484.48 879 484.48 879 572.54 975.08 572.54 209 950.08 479.48 854 479.48 854 567.54 950.08 567.54 214 925.08 474.48 829 474.48 829 562.54 925.08 562.54 219 895.08 459.48 799 459.48 799 547.54 895.08 547.54 224 850.08 434.48 754 434.48 754 522.54 850.08 522.54 229 800.08 414.48 704 414.48 704 502.54 800.08 502.54 234 730.08 384.48 634 384.48 634 472.54 730.08 472.54 239 685.08 374.48 589 374.48 589 462.54 685.08 462.54 244 645.08 384.48 549 384.48 549 472.54 645.08 472.54 249 630.08 414.48 534 414.48 534 502.54 630.08 502.54 254 625.08 459.48 529 459.48 529 547.54 625.08 547.54 259 645.08 509.48 549 509.48 549 597.54 645.08 597.54 264 655.08 529.48 559 529.48 559 617.54 655.08 617.54 269 670.08 529.48 574 529.48 574 617.54 670.08 617.54 274 675.08 524.48 579 524.48 579 612.54 675.08 612.54 279 680.08 519.48 584 519.48 584 607.54 680.08 607.54 284 685.08 504.48 589 504.48 589 592.54 685.08 592.54 289 675.08 494.48 579 494.48 579 582.5