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Learn how to reverse-engineer data points from graph images using a combination of computer vision, smart heuristics, and large language models in this lightning talk from NDC Copenhagen. Discover practical techniques for extracting underlying data when you only have visual plots available, moving beyond the typical data-to-visualization workflow to solve the inverse problem. Explore real-world applications through examples ranging from personal tomato consumption tracking to pharmaceutical industry use cases, and understand how AI technologies can transform static graph images back into usable datasets.
