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Evaluation of Steeldarts Games using Computer Vision

CVJG develops fully-automated tool for analyzing professional Steeldarts games

Students and members of the Computer Vision Group Jena developed a tool which allows for a fully-automated analysis of professional Steeldarts games. Besides a surprisingly large amount of fun during the development process, the results underline the close connection of theory and practice within the educational courses offered by CVGJ. For more details on lectures, seminars, or practical courses, check out the corresponding webpage.

Note: The original press release is available in German only.

Links to original articles:

Further links:

Christopher Manthey (right), developer of D3-DigitalDartsDetector, and supervisor Alexander Freytag (left).

Image taken by Jan-Peter Kasper/FSU

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