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COunterfeit DEtection: Validating the ARTDETECT approach with Stakeholders in the loop

Sector: Government • Location: Belgium

Source: EU Funding & Tenders Portal

Project
Ongoing

Forged paintings pose an urgent challenge to international law enforcement agencies and the art world. Both the quantity and the quality of the works are alarming. In practice, however, this type of art crime is notoriously difficult to detect and combat. The CoG project ARTDETECT is generating new knowledge about significant anomalies that betray forged paintings (as well as into key characteris

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The project “COunterfeit DEtection: Validating the ARTDETECT approach with Stakeholders in the loop” is an infrastructure initiative in the Government sector, located in Belgium. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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ongoing

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Description

Description

Forged paintings pose an urgent challenge to international law enforcement agencies and the art world. Both the quantity and the quality of the works are alarming. In practice, however, this type of art crime is notoriously difficult to detect and combat. The CoG project ARTDETECT is generating new knowledge about significant anomalies that betray forged paintings (as well as into key characteristics of comparable originals); and is developing ‘thin-slicing’ tools, i.e. computer programs and checklists that help to quickly and effectively select potential forgeries for in-depth analysis. However, in order to ensure the practical application of the new knowledge and tools, it is crucial to engage with stakeholders at an early stage in order to 1) gain access to a wide range of current cases, 2) test the validity of the preliminary conclusions, and 3) identify the challenges and opportunities in this restricted part of the market. The team has a unique opportunity to collaborate with stakeholders and gain access to a large number of (potential) forgeries in the styles of more than 100 modern painters. We are also setting up our own lab. These circumstances allow us, at relatively low cost, to build an extensive curated image database of real cases, to carefully annotate the images, and to rigorously validate our preliminary conclusions. Through in-depth confidential research with stakeholders CODES will provide an extensive test dataset and user-oriented guidelines that have the potential to revolutionize counterfeit detection.

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High

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100%

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