allenai/Molmo2-VideoTrackEval

Molmo2-VideoTrackEval是一个用于视频点跟踪的评估基准，包含人工标注的地面真实表达式。它包括分割掩码，用于评估预测点是否落在正确的对象区域内。目前有五个评估类别：动物、舞蹈、运动、人物和其他。该基准是Molmo2数据集集合的一部分，用于通过点轨迹评估Molmo2系列模型在视频对象跟踪上的表现。

Molmo2-VideoTrackEval is an evaluation benchmark for video point tracking, containing human-annotated ground truth expressions. It includes segmentation masks for evaluating whether predicted points fall within the correct object regions. Currently, there are five categories for evaluation: animal, dance, sports, person, and misc. This benchmark is part of the Molmo2 dataset collection and is used to evaluate the Molmo2 family of models on video object tracking via point trajectories.