KeremTurgutlu/clip_art

CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification - 4th Workshop on Computer Vision for Fashion, Art, and Design

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This helps art historians, curators, and researchers accurately identify and categorize artworks based on their subtle features. You can input art images and associated textual descriptions, and it outputs precise classifications or helps you find similar artworks even without explicit labels. It's designed for anyone needing to analyze and organize large collections of art.

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Use this if you need to classify artworks by style, artist, period, or other fine-grained attributes, or retrieve specific art pieces from a large collection using natural language descriptions.

Not ideal if your primary goal is general object recognition in non-artistic images or if you don't have a focus on fine-grained visual distinctions within art.

art-history cultural-heritage art-classification museum-curation image-retrieval
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Maturity 16 / 25
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MIT

Last pushed

May 02, 2022

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