SwinIR-based ceramic image inpainting system with invertible refinement
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Updated
Aug 4, 2026 - Python
SwinIR-based ceramic image inpainting system with invertible refinement
A system for ceramic glaze prediction, utilizing a KNN model and CIELAB color space, this Streamlit web app converts target color coordinates into precise chemical formulas with 90% accuracy. A full-stack Data Science solution that optimizes industrial formulation by bridging machine learning with a user-friendly interface.
Python application for ceramic tile quantity estimation.
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