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

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38 176 38 918.000000 281.000000 1004.000000 281.000000 1004.000000 412.000000 918.000000 412.000000 43 927.790000 255.890000 1013.700000 255.890000 1013.700000 387.250000 927.790000 387.250000 48 937.790000 225.890000 1039.300000 225.890000 1039.300000 378.970000 937.790000 378.970000 53 947.790000 225.890000 1049.300000 225.890000 1049.300000 378.970000 947.790000 378.970000 58 972.790000 215.890000 1077.400000 215.890000 1077.400000 389.220000 972.790000 389.220000 63 992.790000 190.890000 1097.400000 190.890000 1097.400000 388.290000 992.790000 388.290000 68 1002.800000 180.890000 1107.400000 180.890000 1107.400000 378.290000 1002.800000 378.290000 73 987.790000 175.890000 1092.400000 175.890000 1092.400000 373.290000 987.790000 373.290000 78 952.790000 175.890000 1082.200000 175.890000 1082.200000 390.260000 952.790000 390.260000 83 907.790000 200.890000 1037.200000 200.890000 1037.200000 415.260000 907.790000 415.260000 88 867.790000 200.890000 997.180000 200.890000 997.180000 415.260000 867.790000 415.260000 93 857.790000 175.890000 987.180000 175.890000 987.180000 390.260000 857.790000 390.260000 98 847.790000 125.890000 999.870000 125.890000 999.870000 372.870000 847.790000 372.870000 103 847.790000 90.890000 999.870000 90.890000 999.870000 337.870000 847.790000 337.870000 108 822.790000 80.890000 994.200000 80.890000 994.200000 367.930000 822.7