Training dataset generation for bridge game registration

• URL: http://arxiv.org/abs/2109.11861v1
• Date: Fri, 24 Sep 2021 10:09:36 GMT
• Title: Training dataset generation for bridge game registration
• Authors: Piotr Wzorek, Tomasz Kryjak
• Abstract summary: 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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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