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Brazilian Vertical Traffic Signs and Lights Dataset

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Mendeley Data2024-03-27 更新2024-06-26 收录
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https://data.mendeley.com/datasets/jbpsr4fvg9
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The Brazilian Vertical Traffic Signs and Lights Dataset is a curated collection of annotated files containing images and information related to vertical traffic signs and lights in Brazil. This dataset is designed to facilitate research and development in the field of computer vision, machine learning, and intelligent transportation systems. Contents: 1. Image Data: - High-resolution images capturing various scenarios of Brazilian roadways. - Images feature a diverse range of vertical traffic signs and lights in different environmental conditions, lighting, and weather. 2. Annotation Files: - XML files containing detailed annotations for each image. - Annotations include bounding boxes around individual traffic signs and lights, along with corresponding class labels and other relevant attributes. 3. Classes: - Comprehensive taxonomy of Brazilian vertical traffic signs and lights. - Classes include regulatory signs, warning signs, guide signs, traffic lights, and other relevant categories as per Brazilian traffic regulations. 4. Metadata: - Additional metadata, such as geolocation, date, and time of image capture. - Information on road types, conditions, and any other contextual data that enhances the dataset's utility. Potential Applications: - Traffic sign and light recognition algorithms. - Intelligent transportation systems development. - Road safety and traffic management research. - Autonomous vehicle navigation and decision-making. Citation: When using this dataset, please cite the dataset as follows: \[Pierre, Monhel Maudoony (2023), “Brazilian Vertical Traffic Signs and Lights Dataset”, Mendeley Data, V2, doi: 10.17632/jbpsr4fvg9.2\] Acknowledgments: This dataset is compiled with data from some YouTube videos, and we acknowledge the contributions of the original data providers. Disclaimer: This dataset is provided for research purposes only. Users are encouraged to adhere to ethical guidelines and respect privacy regulations when using this data.
创建时间:
2024-01-23
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