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README.md
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# Molmo2-VideoTrackEval
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Molmo2-VideoTrackEval is an evaluation benchmark for video point tracking, containing human-annotated ground truth
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This benchmark is part of the [Molmo2 dataset collection](https://huggingface.co/collections/allenai/molmo2) and is used to evaluate the Molmo2 family of models on video object tracking via point trajectories.
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# Molmo2-VideoTrackEval
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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:
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- dance
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- sports
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- person
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- misc
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- animal
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This benchmark is part of the [Molmo2 dataset collection](https://huggingface.co/collections/allenai/molmo2) and is used to evaluate the Molmo2 family of models on video object tracking via point trajectories.
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