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.
| Author / organization | allenai |
|---|---|
| License (as declared) | odc-by |
| Downloads | 224 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 15 December 2025 |
| Last updated at source | 16 December 2025 |
Popularity, last 3 days
224 now (-8 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: 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 cor → 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 cor
Changes detected by Silytics between refreshes of the source.
More from allenai
- allenai/c4Dataset
- allenai/ai2_arcDataset
- allenai/objaverseDataset
- allenai/winograndeDataset
- allenai/openbookqaDataset
- allenai/sciqDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.