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

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5 1164.8 359.81 621.12 359.81 621.12 491.79 1164.8 491.79 10 1143.7 359.81 600.04 359.81 600.04 491.79 1143.7 491.79 15 1141.1 359.81 597.41 359.81 597.41 491.79 1141.1 491.79 20 1127.9 359.81 584.23 359.81 584.23 491.79 1127.9 491.79 25 1120 359.81 576.33 359.81 576.33 491.79 1120 491.79 30 1120 359.81 576.33 359.81 576.33 491.79 1120 491.79 35 554.06 359.81 1097.7 359.81 1097.7 491.79 554.06 491.79 40 554.06 359.81 1097.7 359.81 1097.7 491.79 554.06 491.79 45 554.06 359.81 1097.7 359.81 1097.7 491.79 554.06 491.79 50 546.61 359.81 1107.7 359.81 1107.7 491.79 546.61 491.79 55 546.61 359.81 1107.7 359.81 1107.7 491.79 546.61 491.79 60 546.61 359.81 1115.1 359.81 1115.1 491.79 546.61 491.79 65 546.61 359.81 1115.1 359.81 1115.1 491.79 546.61 491.79 70 546.61 359.81 1125.1 359.81 1125.1 491.79 546.61 491.79 75 546.61 359.81 1125.1 359.81 1125.1 491.79 546.61 491.79 80 539.15 359.81 1137.5 359.81 1137.5 501.73 539.15 501.73 85 539.15 359.81 1137.5 359.81 1137.5 501.73 539.15 501.73 90 539.15 359.81 1137.5 359.81 1137.5 501.73 539.15 501.73 95 539.15 359.81 1144.9 359.81 1144.9 504.21 539.15 504.21 100 536.67 359.81 1147.4 359.81 1147.4 504.21 536.67 504.21 10