Track-Anything is an AI-driven video object segmentation and tracking system. It utilizes the Segment Anything Model to isolate and mask multiple objects across video frames, providing tools for automated mask propagation and background-filling inpainting.
The system distinguishes itself through a multi-object segmentation pipeline that can follow several distinct targets simultaneously. It includes a video inpainting utility to remove tracked objects and replace them with synthesized background content, as well as temporal mask refinement to correct tracking drift.
The project covers broad capabilities in computer vision, including point-based mask generation, shot transition management, and cross-frame object tracking. These functions are accessible via a tracking API for managing video uploads, template selection, and automated workflows.
