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

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1 150 1 447.670000 160.380000 357.670000 160.380000 357.670000 373.170000 447.670000 373.170000 6 447.670000 160.380000 357.670000 160.380000 357.670000 373.170000 447.670000 373.170000 11 447.670000 160.380000 357.670000 160.380000 357.670000 373.170000 447.670000 373.170000 16 447.670000 160.380000 357.670000 160.380000 357.670000 373.170000 447.670000 373.170000 21 447.670000 160.380000 357.670000 160.380000 357.670000 373.170000 447.670000 373.170000 26 447.670000 160.380000 357.670000 160.380000 357.670000 373.170000 447.670000 373.170000 31 447.670000 160.380000 357.670000 160.380000 357.670000 373.170000 447.670000 373.170000 36 449.050000 172.800000 359.050000 172.800000 359.050000 385.590000 449.050000 385.590000 41 449.050000 172.800000 359.050000 172.800000 359.050000 385.590000 449.050000 385.590000 46 455.950000 178.320000 365.950000 178.320000 365.950000 391.110000 455.950000 391.110000 51 455.950000 178.320000 365.950000 178.320000 365.950000 391.110000 455.950000 391.110000 56 455.950000 178.320000 365.950000 178.320000 365.950000 391.110000 455.950000 391.110000 61 455.950000 178.320000 365.950000 178.320000 365.950000 391.110000 455.950000 391.110000 66 460.090000 194.870000 370.090000 194.870000 370.090000 407.660000 460.090000 407.660000 71 460.090000 194.870000 370.090000 194.870000 370.090000 407.660000 460.090000 407.660000 76 471.120000 197.630000 381.120000 197.630000 381.120000 410.420000 471.120000 410.420000 81 472.500000 190.730000 382.500000 190.730000 382.500000 403.520000 472.500000