alejomaar/google-arts-and-culture
Extract images from the Google arts and culture page to create a supervised classification model and serve it in Python/FastAPI.
This project helps art historians, curators, or researchers automatically categorize images from the Google Arts & Culture page by their dominant color. It takes an image of an artwork and outputs its primary color (e.g., BLACK, BLUE, RED). This is useful for anyone analyzing large collections of art or visual media who needs to sort items by color for stylistic, thematic, or historical studies.
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Use this if you need to build a system to automatically classify art images by their dominant color, particularly from online collections.
Not ideal if you require highly nuanced color analysis beyond 11 predefined dominant colors or need to classify images from sources other than Google Arts & Culture.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jan 23, 2023
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