claudaff/automatic-map-storytelling
An Efficient System for Automatic Map Storytelling using Generative Pre-trained Transformer (GPT) Models – A Case Study on Historical Maps
This system helps historians, researchers, and educators understand historical maps by generating narrative descriptions. You input an image of a historical map, and it outputs a brief story explaining its context: where, what, when, and why it was created. It's designed for anyone who needs to quickly grasp the meaning and significance of old, often complex, maps without expert knowledge.
No commits in the last 6 months.
Use this if you need to quickly interpret and get a contextual story for historical maps, especially those with non-standard styles or missing text.
Not ideal if you primarily work with modern, standardized maps or require extremely detailed, multi-page analytical reports rather than a concise story.
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Python
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Last pushed
Jun 12, 2025
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