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

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1 145 1 477.000000 299.000000 657.000000 299.000000 657.000000 414.000000 477.000000 414.000000 6 471.610000 299.610000 651.770000 299.610000 651.770000 414.830000 471.610000 414.830000 11 460.640000 301.440000 640.800000 301.440000 640.800000 416.660000 460.640000 416.660000 16 451.050000 304.190000 642.160000 304.190000 642.160000 419.410000 451.050000 419.410000 21 440.860000 305.110000 631.820000 305.110000 631.820000 425.250000 440.860000 425.250000 26 425.740000 307.020000 625.960000 307.020000 625.960000 431.440000 425.740000 431.440000 31 411.920000 307.020000 615.710000 307.020000 615.710000 431.440000 411.920000 431.440000 36 395.290000 305.040000 606.660000 305.040000 606.660000 436.890000 395.290000 436.890000 41 395.290000 305.040000 612.940000 305.040000 612.940000 436.890000 395.290000 436.890000 46 382.810000 305.040000 612.940000 305.040000 612.940000 444.280000 382.810000 444.280000 51 375.190000 298.350000 610.520000 298.350000 610.520000 442.140000 375.190000 442.140000 56 362.760000 292.650000 609.250000 292.650000 609.250000 441.570000 362.760000 441.570000 61 360.570000 275.920000 617.410000 275.920000 617.410000 432.210000 360.570000 432.210000 66 343.350000 268.450000 613.470000 268.450000 613.470000 431.870000 343.350000 431.870000 71 344.880000 251.430000 626.350000 251.430000 626.350000 421.510000 344.880000 421.510000 76 343.740000 247.340000 635.670000 247.340000 635.670000 417.420000 343.740000