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• W2922204530 abstract "This paper establishes a multilevel dataset for solving the vehicle logo detection task; we call it ‘VLD-30’. Vehicle logo detection is applied to the Intelligent Transport System widely, such as vehicle monitoring. As for the object detection algorithm of deep-learning, a good dataset can improve the robustness of it. Our dataset has a very high reliability by including analysis on various factors. In order to confirm the dataset performance, we use the typical target detection algorithm, such as Faster-RCNN and YOLO. The experimental results show that our dataset achieves significant improvements for the small object detection, and vehicle logo detection is potential to be developed." @default.
• W2922204530 created "2019-03-22" @default.
• W2922204530 creator A5008285692 @default.
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• W2922204530 date "2019-02-19" @default.
• W2922204530 modified "2023-09-23" @default.
• W2922204530 title "A New Dataset for Vehicle Logo Detection" @default.
• W2922204530 cites W1536680647 @default.
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• W2922204530 doi "https://doi.org/10.1007/978-3-030-04946-1_17" @default.
• W2922204530 hasPublicationYear "2019" @default.
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