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

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1 122 1 359.050000 59.524000 235.710000 59.524000 235.710000 343.810000 359.050000 343.810000 6 361.530000 82.408000 238.190000 82.408000 238.190000 353.690000 361.530000 353.690000 11 357.190000 95.414000 233.850000 95.414000 233.850000 332.630000 357.190000 332.630000 16 333.040000 91.079000 221.460000 91.079000 221.460000 325.200000 333.040000 325.200000 21 350.380000 68.782000 238.190000 68.782000 238.190000 295.470000 350.380000 295.470000 26 348.520000 52.679000 236.330000 52.679000 236.330000 279.360000 348.520000 279.360000 31 322.510000 43.388000 218.370000 43.388000 218.370000 270.070000 322.510000 270.070000 36 322.510000 43.388000 218.370000 43.388000 218.370000 270.070000 322.510000 270.070000 41 327.460000 32.240000 223.320000 32.240000 223.320000 258.930000 327.460000 258.930000 46 331.800000 22.330000 227.660000 22.330000 227.660000 249.020000 331.800000 249.020000 51 335.510000 1.000000 231.370000 1.000000 231.370000 241.580000 335.510000 241.580000 56 351.000000 1.000000 246.860000 1.000000 246.860000 241.430000<