This website presents PyFCS, an open-source software framework for modeling color based on fuzzy color spaces, designed to bridge the semantic gap between computational color representations and subjective human color perception.
PyFCS enables the creation and manipulation of fuzzy color spaces from collections of crisp colors, taking into account different color semantics and describing them through linguistic labels. In this way, existing color naming systems can be employed to automatically build fuzzy color spaces, starting from representative colors and associated color terms.

The framework provides an intuitive and flexible approach for designing customized fuzzy color spaces, suitable for both expert and non-expert users, and supports different typologies of fuzzy color spaces depending on the nature of the color semantics being modeled. In addition, PyFCS allows the analysis and visualization of colors present in digital images, enabling interactive exploration of pixel-based color information and their corresponding membership degrees to fuzzy color categories.

The website provides access to PyFCS-Web, a web-based interface that offers a subset of PyFCS functionalities for interactive exploration of fuzzy color spaces directly in the browser. It also includes demonstration materials, a public GitHub repository providing access to the source code for download and use, and additional utility files supporting experimentation and reuse.