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

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1 168 1 330.570000 300.480000 311.910000 300.480000 311.910000 324.310000 330.570000 324.310000 6 332.220000 303.780000 314.390000 303.780000 314.390000 326.790000 332.220000 326.790000 11 332.690000 302.040000 314.850000 302.040000 314.850000 325.040000 332.690000 325.040000 16 337.340000 302.500000 319.510000 302.500000 319.510000 325.510000 337.340000 325.510000 21 338.740000 299.830000 320.900000 299.830000 320.900000 322.830000 338.740000 322.830000 26 339.790000 299.940000 321.950000 299.940000 321.950000 322.950000 339.790000 322.950000 31 341.180000 303.200000 323.350000 303.200000 323.350000 326.210000 341.180000 326.210000 36 338.860000 299.830000 321.020000 299.830000 321.020000 322.830000 338.860000 322.830000 41 335.480000 301.340000 317.650000 301.340000 317.650000 324.340000 335.480000 324.340000 46 336.760000 303.670000 318.930000 303.670000 318.930000 326.670000 336.760000 326.670000 51 341.760000 302.740000 323.930000 302.740000 323.930000 325.740000 341.760000 325.740000 56 345.370000 303.430000 327.540000 303.430000 327.540000 326.440000 345.370000 326.440000 61 344.090000 301.800000 326.260000 301.800000 326.260000 324.810000 344.090000 324.810000 66 343.160000 302.040000 325.330000 302.040000 325.330000 325.040000 343.160000 325.040000 71 342.350000 300.990000 324.510000 300.990000 324.510000 323.990000 342.350000 323.990000 76 343.390000 289.580000 325.560000 289.580000 325.560000 312.590000 343.390000 312.590000 81 342.930000 290.280000 325.090000 290.280000 325.090000 313.290000 342.930000 313.290000 86 343.280000 295.050000 325.440000 295.050000 325.440000 318.060000 343.280000 318.060000 91 346.770000 290.520000 328.930000 290.520000 328.930000 313.520000 346.770000 313.520000 96 345.370000 298.430000 327.540000 298.430000 327.540000 321.430000 345.370000 321.430000 101 352.590000 305.760000 334.750000 305.760000 334.750000 328.770000 352.590000 <