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

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10 540.63 319.84 488.73 319.84 488.73 360.32 540.63 360.32 15 539.2 322.3 488.73 322.3 488.73 358.07 539.2 358.07 20 541.54 316.63 492.25 316.63 492.25 350.45 541.54 350.45 25 533.91 314.91 485.76 314.91 485.76 348.16 533.91 348.16 30 530.55 311.93 483.71 311.93 483.71 343.69 530.55 343.69 35 525.11 305.95 478.27 305.95 478.27 337.7 525.11 337.7 40 516.59 302.68 470.29 302.68 470.29 333.89 516.59 333.89 45 515.34 302.68 469.04 302.68 469.04 333.89 515.34 333.89 50 510.32 302.33 464.02 302.33 464.02 333.53 510.32 333.53 55 502.61 306.63 456.31 306.63 456.31 337.12 502.61 337.12 60 489.53 306.81 441.61 306.81 441.61 338.37 489.53 338.37 65 482.85 306.44 434.94 306.44 434.94 338 482.85 338 70 473.58 307.55 423.62 307.55 423.62 339.3 473.58 339.3 75 464.49 313.16 414.53 313.16 414.53 344.91 464.49 344.91 80 456.75 319.34 406.8 319.34 406.8 351.1 456.75 351.1 85 444.57 329.79 391.91 329.79 391.91 365.79 444.57 365.79 90 427.85 332.64 375.19 332.64 375.19 370.48 427.85 370.48 95 424.59 327.54 371.93 327.54 371.93 368.24 424.59 368.24 100 416.36 328.37 363.7 328.37 363.7 369.06 416.36 369.06 105 416.36 328.37 363.7 328.37 363.7 369.06 416.36 369.06 110 416.36 328.37 363.7 328.37 363.7 369.06 416.36 369.06 115 416.36 328.37 363.7 328.37 363.7 369.06 416.36 369.06 120 416.36 328.37 363.7 328.37 363.7 369.06 416.36 369.06 125 416.36 328.37 363.7 328.37 363.7 369.06 416.36 369.06 130 413.89 326.72 361.23 326.72 361.23 367.42 413.89 367.42 135 415.12 325.9 362.46 325.9 362.46 366.59 415.12 366.59 140 412.45 324.46 359.79 324.46 359.79 365.15 412.45 365.15 145 412.65 319.93 362.46 319.93 362.46 357.53 412.65 357.53 150 412.46 316.04 362.27 3