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

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3 860.46 209.02 803.98 209.02 803.98 267.59 860.46 267.59 8 844.19 210.88 787.71 210.88 787.71 269.45 844.19 269.45 13 842.33 209.95 785.85 209.95 785.85 268.52 842.33 268.52 18 839.54 202.05 789.11 202.05 789.11 257.36 839.54 257.36 23 829.01 207.75 778.57 207.75 778.57 263.07 829.01 263.07 28 834.71 213.02 784.28 213.02 784.28 268.34 834.71 268.34 33 841.3 222.24 790.86 222.24 790.86 277.56 841.3 277.56 38 836.03 202.49 785.59 202.49 785.59 257.8 836.03 257.8 43 843.93 214.78 793.5 214.78 793.5 270.1 843.93 270.1 48 838.23 207.75 787.79 207.75 787.79 263.07 838.23 263.07 53 835.15 213.9 784.71 213.9 784.71 269.22 835.15 269.22 58 836.47 209.07 786.03 209.07 786.03 264.39 836.47 264.39 63 840.86 198.1 790.42 198.1 790.42 253.41 840.86 253.41 68 836.03 203.8 785.59 203.8 785.59 259.12 836.03 259.12 73 836.91 201.17 786.47 201.17 786.47 256.49 836.91 256.49 78 843.93 213.46 793.5 213.46 793.5 268.78 843.93 268.78 83 844.37 198.1 793.93 198.1 793.93