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SAV - Segment Anything Video

For vision–language models that describe or interact with videos. Useful in video captioning or visual prompting.

About Dataset

Segment Anything Video is an extension of the Segment Anything project developed by Meta AI, focusing on video data. The dataset includes video sequences with annotations that support general-purpose video segmentation across time. It is designed to enable models to identify and segment objects consistently across frames without being limited to predefined categories. The dataset emphasizes generalization, scalability, and robustness in video understanding tasks.

Purpose of Dataset

The Dataset Is Used For Training And Evaluating Video Segmentation Models And General-purpose Vision Systems. It Supports Research In Object Tracking, Temporal Consistency, And Video Understanding. Segment Anything Video Enables Development Of Models That Can Adapt To New Visual Concepts And Environments With Minimal Supervision, Making It Valuable For Foundational Computer Vision Research And Downstream Video Applications.