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

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5 155 5 234.000000 169.000000 278.000000 169.000000 278.000000 216.000000 234.000000 216.000000 10 214.250000 169.310000 258.330000 169.310000 258.330000 215.560000 214.250000 215.560000 15 197.550000 164.720000 230.970000 164.720000 230.970000 219.780000 197.550000 219.780000 20 177.120000 169.310000 206.830000 169.310000 206.830000 233.550000 177.120000 233.550000 25 147.110000 175.940000 196.060000 175.940000 196.060000 240.170000 147.110000 240.170000 30 134.880000 172.110000 198.090000 172.110000 198.090000 236.350000 134.880000 236.350000 35 150.680000 172.880000 201.150000 172.880000 201.150000 240.170000 150.680000 240.170000 40 164.170000 168.610000 216.510000 168.610000 216.510000 243.110000 164.170000 243.110000 45 175.560000 166.830000 234.250000 166.830000 234.250000 241.630000 175.560000 241.630000 50 206.090000 166.540000 268.420000 166.540000 268.420000 240.740000 206.090000 240.740000 55 239.180000 169.770000 287.270000 169.770000 287.270000 236.910000 239.180000 236.910000 60 239.210000 169.240000 298.430000 169.240000 298.430000 245.170000 239.210000 245.170000 65 268.710000 176.170000 319.930000 176.170000 319.930000 240.050000 268.710000 240.050000 70 255.790000 181.240000 319.860000 181.240000 319.860000 253.990000 255.790000 253.990000 75 262.420000 180.660000 311.200000 180.660000 311.200000 267.560000 262.420000 267.560000 80 222.670000 179.970000 289.820000 179.970000 289.820000 249.290000 222.670000 249.290000 85 208.940000 183.830000 261.220000 183.830000 261.220000 256.710000 208.940000