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

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1 161 1 318.100000 104.290000 208.100000 104.290000 208.100000 272.380000 318.100000 272.380000 6 318.100000 104.290000 208.100000 104.290000 208.100000 272.380000 318.100000 272.380000 11 318.100000 104.290000 208.100000 104.290000 208.100000 272.380000 318.100000 272.380000 16 318.100000 104.290000 208.100000 104.290000 208.100000 272.380000 318.100000 272.380000 21 318.100000 104.290000 208.100000 104.290000 208.100000 272.380000 318.100000 272.380000 26 318.100000 104.290000 208.100000 104.290000 208.100000 272.380000 318.100000 272.380000 31 318.100000 104.290000 208.100000 104.290000 208.100000 272.380000 318.100000 272.380000 36 318.100000 104.290000 208.100000 104.290000 208.100000 272.380000 318.100000 272.380000 41 318.100000 104.290000 208.100000 104.290000 208.100000 272.380000 318.100000 272.380000 46 318.100000 104.290000 208.100000 104.290000 208.100000 272.380000 318.100000 272.380000 51 318.100000 104.290000 208.100000 104.290000 208.100000 272.380000 318.100000 272.380000 56 314.290000 88.100000 204.290000 88.100000 204.290000 256.190000 314.290000 256.190000 61 314.290000 88.100000 204.290000 88.100000 204.290000 256.190000 314.290000 256.190000 66 314.290000 88.100000 204.290000 88.100000 204.290000 256.190000 314.290000 256.190000 71 310.480000 97.623000 200.480000 97.623000 200.480000 265.710000 310.480000 265.710000 76 310.480000 97.623000 200.480000 97.623000 200.480000 265.710000 310.480000 265.710000 81 310.480000 97.623000 200.480000 97.623000 200.480000 265.710000 310.480000 265.710000 86 310.480000 97.623000 200.480000 97.623000 200.480000 265.710000 310.480000 265.710000 91 310.480000 97.623000 200.480000 97.623000 200.480000 265.710000