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

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270 466.66 479.06 403.08 479.06 403.08 560.8 466.66 560.8 275 466.66 479.06 403.08 479.06 403.08 560.8 466.66 560.8 280 466.66 479.06 403.08 479.06 403.08 560.8 466.66 560.8 285 466.66 479.06 403.08 479.06 403.08 560.8 466.66 560.8 290 471.66 469.06 408.08 469.06 408.08 550.8 471.66 550.8 295 471.66 469.06 408.08 469.06 408.08 550.8 471.66 550.8 300 491.66 479.06 428.08 479.06 428.08 560.8 491.66 560.8 305 491.66 454.06 428.08 454.06 428.08 535.8 491.66 535.8 310 511.66 429.06 448.08 429.06 448.08 510.8 511.66 510.8 315 526.66 414.06 463.08 414.06 463.08 495.8 526.66 495.8 320 526.66 399.06 463.08 399.06 463.08 480.8 526.66 480.8 325 546.66 394.06 483.08 394.06 483.08 475.8 546.66 475.8 330 546.66 394.06 483.08 394.06 483.08 475.8 546.66 475.8 335 551.66 399.06 488.08 399.06 488.08 480.8 551.66 480.8 340 551.66 394.06 488.08 394.06 488.08 475.8 551.66 475.8 345 581.66 399.06 518.08 399.06 518.08 480.8 581.66 480.8 350 626.66 404.06 563.08 404.06 563.08 485.8 626.66 485.8 355 641.66 419.06 578.08 419.06 578.08 500.8 641.66 500.8 360 656.66 414.06 593.08 414.06 593.08 495.8 656.66 495.8 365 656.66 414.06 593.08 414.06 593.08 495.8 656.66 495.8 370 656.66 419.06 593.08 419.06 593.08 500.8 656.66 500.8 375 666.66 424.06 603.08 424.06 603.08 505.8 666.66 505.8 380 671.66 429.06 608.08 429.06 608.08 510.8 671.66 510.8 385 671.66 429.06 608.08 429.06 608.08 510.8 671.66