allenai/Molmo2-VideoTrackEval

Molmo2-VideoTrackEval 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 misc This benchmark is part of the Molmo2 dataset collection and is used to evaluate the Molmo2 family of models on video object tracking… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Molmo2-VideoTrackEval.