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

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50 469 100 772 100 772 201 469 201 55 468.79 99.68 772.48 99.68 772.48 200.56 468.79 200.56 60 468.79 99.68 772.48 99.68 772.48 200.56 468.79 200.56 65 468.79 99.68 772.48 99.68 772.48 200.56 468.79 200.56 70 468.79 99.68 772.48 99.68 772.48 200.56 468.79 200.56 75 468.79 99.68 772.48 99.68 772.48 200.56 468.79 200.56 80 468.79 99.68 772.48 99.68 772.48 200.56 468.79 200.56 85 469.04 101.91 773.95 101.91 773.95 200.56 469.04 200.56 90 469.04 101.91 773.95 101.91 773.95 200.56 469.04 200.56 95 469.04 101.91 773.95 101.91 773.95 200.56 469.04 200.56 100 469.04 101.91 773.95 101.91 773.95 200.56 469.04 200.56 105 469.04 101.91 773.95 101.91 773.95 200.56 469.04 200.56 110 469.04 101.91 773.95 101.91 773.95 200.56 469.04 200.56 115 469.04 101.91 773.95 101.91 773.95 200.56 469.04 200.56 120 469.04 101.91 773.95 101.91 773.95 200.56 469.04 200.56 125 469.04 101.91 773.95 101.91 773.95 200.56 469.04 200.56 130 469.04 101.91 773.95 101.91 773.95 200.56 469.04 200.56 135 463.12 96 768.04 96 768.04 194.65 463.12 194.65 140 463.12 96 768.04 96 768.04 194.65 463.12 194.65 145 463.12 96 768.04 96 768.04 194.65 463.12 194.65 150 454.26 9