VOT2017

该数据集是一个专门用于评估视觉目标跟踪算法准确性和鲁棒性的基准数据集。它包含了多种视频序列，覆盖了各种不同的对象，以便全面评估。评价标准基于预期平均重叠（EAO）得分，这一指标同时考量了跟踪算法的准确性和鲁棒性。该数据集的任务是视觉目标跟踪。

This is a benchmark dataset specifically developed for evaluating the accuracy and robustness of visual object tracking algorithms. It comprises diverse video sequences covering a wide array of distinct objects to enable comprehensive performance assessments. The evaluation metric is based on the Expected Average Overlap (EAO) score, which jointly takes into account both the accuracy and robustness of tracking algorithms. The core task of this dataset is visual object tracking.