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Training dataset generation for automatic registration of a duplicate bridge game
  • Piotr Wzorek ,
  • Tomasz Kryjak
Piotr Wzorek
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Tomasz Kryjak
AGH University of Science and Technology

Corresponding Author:[email protected]

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Abstract

This paper presents a method for automatic generation of a training dataset for a deep convolutional neural network used for playing card detection. The solution allows to skip the time-consuming processes of manual image collecting and labelling recognised objects. The YOLOv4 network trained on the generated dataset achieved an efficiency of 99.8% in the cards detection task. The proposed method is a part of a project that aims to automate the process of broadcasting duplicate bridge competitions using a vision system and neural networks.