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

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1 180 1 1039.800000 422.540000 928.130000 422.540000 928.130000 524.940000 1039.800000 524.940000 6 1079.800000 452.540000 968.130000 452.540000 968.130000 554.940000 1079.800000 554.940000 25 1117.000000 481.660000 1005.400000 481.660000 1005.400000 584.060000 1117.000000 584.060000 30 1107.000000 471.660000 995.380000 471.660000 995.380000 574.060000 1107.000000 574.060000 35 1097.000000 471.660000 985.380000 471.660000 985.380000 574.060000 1097.000000 574.060000 40 1082.000000 476.660000 970.380000 476.660000 970.380000 579.060000 1082.000000 579.060000 45 1072.000000 486.660000 960.380000 486.660000 960.380000 589.060000 1072.000000 589.060000 50 1042.000000 481.660000 930.380000 481.660000 930.380000 584.060000 1042.000000 584.060000 55 1012.000000 481.660000 900.380000 481.660000 900.380000 584.060000 1012.000000 584.060000 60 997.050000 476.660000 885.380000 476.660000 885.380000 579.060000 997.050000 579.060000 65 982.050000 476.660000 870.380000 476.660000 870.380000 579.060000 982.050000 579.060000 70 952.050000 471.660000 840.380000 471.660000 840.380000 574.060000 952.050000 574.060000 75 922.050000 456.660000 810.380000 456.660000 810.380000 559.060000 922.050000 559.060000 80 882.050000 441.660000 770.380000 441.660000 770.380000 544.060000 882.050000 544.060000 85 832.050000 416.660000 720.380000 416.660000 720.380000 519.060000 832.050000 519.060000 90 782.050000 391.660000 670.380000 391.660000 670.380000 494.060000 782.050000 494.060000 95 732.050000 371.660000 620.380000 371.660000 620.380000 474.060000 732.050000 474.060000 100 677.050000 371.660000 565.380000 371.660000 565.380000 474.060000 677.050000 474.060000 105 642.050000 391.660000 530.380000 391.660000 530.380000 494.060000 642.050000 494.060000 110 637.050000 426.660000 525.380000 426.660000 525.380000 529.060000 637.050000 <