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

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1 133 1 213.020000 116.670000 150.950000 116.670000 150.950000 197.780000 213.020000 197.780000 6 222.930000 105.110000 160.860000 105.110000 160.860000 186.220000 222.930000 186.220000 11 232.010000 124.100000 169.940000 124.100000 169.940000 205.210000 232.010000 205.210000 16 222.930000 115.840000 160.860000 115.840000 160.860000 196.950000 222.930000 196.950000 21 208.890000 114.190000 146.820000 114.190000 146.820000 195.300000 208.890000 195.300000 26 198.980000 138.140000 136.910000 138.140000 136.910000 219.250000 198.980000 219.250000 31 196.500000 124.930000 134.430000 124.930000 134.430000 206.040000 196.500000 206.040000 36 177.510000 115.840000 115.440000 115.840000 115.440000 196.950000 177.510000 196.950000 41 156.040000 134.840000 93.969000 134.840000 93.969000 215.950000 156.040000 215.950000 46 146.130000 129.060000 84.060000 129.060000 84.060000 210.170000 146.130000 210.170000 51 136.220000 116.670000 74.150000 116.670000 74.150000 197.780000 136.220000 197.780000 56 155.210000 103.460000 92.318000 103.460000 92.318000 187.870000 155.210000 187.870000 61 174.210000 115.020000 111.310000 115.020000 111.310000 199.430000 174.210000 199.430000 66 175.860000 93.547000 111.310000 93.547000 111.310000 186.220000