A user on Reddit's r/MachineLearning subreddit is seeking advice on a technical pipeline to convert academic textbook figures into interactive and editable digital assets. The goal is to detect figures, remove embedded labels while preserving the artwork, and store the geometry for frontend rendering. The user is open to human-assisted workflows and prioritizes low inference costs, preferring traditional or lightweight computer vision approaches over expensive multimodal LLMs. They are looking for recommendations on models, datasets, open-source projects, and research areas that address this specific challenge. AI
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RANK_REASON User query seeking technical advice on a specific problem.
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