AI4Culture platform
The AI4Culture platform is a capacity-building platform designed to help cultural heritage institutions harness the power of artificial intelligence.

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- AI4Culture platform screenshot
The AI4Culture platform is a capacity-building platform designed to help cultural heritage institutions harness the power of artificial intelligence.
The AI4Culture platform offers Open Source AI Tools that can be used by cultural heritage institutions to automate and optimise various tasks, such as transcription, image analysis, subtitling and metadata enrichment. It collects Datasets for training, testing, and evaluating AI models in tasks relevant to cultural heritage, facilitating their customisation and fine-tuning to meet the sector’s unique characteristics and needs. And it gathers upskilling resources that accompany the tools and datasets, including articles discussing various applications, tutorials and more.
It was developed by the AI4Culture project.
Makes existing digital tools more accessible and user-friendly for cultural heritage professionals
Helps cultural heritage professionals to discover tools that are more appropriate for their own needs
Provides a variety of datasets from the cultural heritage sector, available under an open-source license, to foster collaboration and innovation.
Is continually enriched with new resources, including guides, tutorials, and best practices to support cultural heritage professionals in their AI journey.
Offers users a way to engage with the AI4Culture community by leaving comments under resources that interest you.
Users can contribute and register new tools, upskilling materials, and datasets
AI4Culture is an open-source platform. A PostgreSQL is used as the database for storing the registered resources. All backend functionalities are exposed via an API and the user interface is implemented using Vue.js.
To use the AI4Culture platform simply visit the platform and make use of its search and navigation capabilities. If you wish to contribute by adding a new tool, a dataset or a 'recipe', register on the platform.