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

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5 165 5 391.570000 785.440000 326.380000 785.440000 326.380000 974.700000 391.570000 974.700000 10 443.600000 785.440000 378.410000 785.440000 378.410000 974.700000 443.600000 974.700000 15 498.100000 787.920000 432.910000 787.920000 432.910000 977.180000 498.100000 977.180000 20 545.170000 790.390000 479.980000 790.390000 479.980000 979.650000 545.170000 979.650000 25 597.200000 787.920000 532.010000 787.920000 532.010000 977.180000 597.200000 977.180000 30 654.180000 787.920000 588.990000 787.920000 588.990000 977.180000 654.180000 977.180000 35 701.250000 782.960000 636.060000 782.960000 636.060000 972.220000 701.250000 972.220000 40 750.800000 787.920000 685.610000 787.920000 685.610000 977.180000 750.800000 977.180000 45 800.340000 782.960000 735.150000 782.960000 735.150000 972.220000 800.340000 972.220000 50 854.850000 785.440000 789.660000 785.440000 789.660000 974.700000 854.850000 974.700000 55 901.920000 785.440000 836.730000 785.440000 836.730000 974.700000 901.920000 974.700000 60 956.420000 785.440000 891.230000 785.440000 891.230000 974.700000 956.420000 974.700000 65 1013.400000 792.870000 948.210000 792.870000 948.210000 982.130000 1013.400000 982.130000 70 1053.000000 790.390000 987.850000 790.390000 987.850000 979.650000 1053.000000 979.650000 75 1105.100000 790.390000 1039.900000 790.390000 1039.900000 979.650000 1105.100000 979.650000 80 1147.200000 790.390000 1082.000000 790.390000 1082.000000 979.650000 1147.200000 979.650000 85 1199.200000 787.920000 1134.000000 787.920000 1134.000000 977.180000 1199.200000 977.180000 90 1253.700000 787.920000 1188.500000 787.920000 1188.500000 977.180000 1253.700000 977.180000 95 1300.800000 785.440000 1235.600000 785.440000 1235.600000 974.700000 1300.800000 974.700000 100