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Track Anything Annotate: Video annotation and dataset generation of computer vision models

2025-05-23Code Available0· sign in to hype

Nikita Ivanov, Mark Klimov, Dmitry Glukhikh, Tatiana Chernysheva, Igor Glukhikh

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Abstract

Modern machine learning methods require significant amounts of labelled data, making the preparation process time-consuming and resource-intensive. In this paper, we propose to consider the process of prototyping a tool for annotating and generating training datasets based on video tracking and segmentation. We examine different approaches to solving this problem, from technology selection through to final implementation. The developed prototype significantly accelerates dataset generation compared to manual annotation. All resources are available at https://github.com/lnikioffic/track-anything-annotate

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