Dataset format: VOC + YOLO format Number of pictures: 1986 Number of annotations (number of XML files): 1986 Number of tags (number of txt files): 1986 Number of labeled categories: 7 Classes：[‘cresce
Dataset format: VOC + YOLO format Number of images: 1076 Number of annotations (number of xml files): 1076 Number of tags (number of txt files): 1076 Number of labeled categories: 2 Label category nam
Dataset format: VOC + YOLO format Number of images: 4000 Number of annotations (number of xml files): 4000 Number of tags (number of txt files): 4000 Number of labeled categories: 8 Classes：[‘Quartzit
Dataset format: VOC + YOLO format Number of images: 1514 Number of annotations (number of xml files): 1514 Number of labels (number of txt files): 1514 Number of labeled categories: 3 Label category n
Dataset format: VOC + YOLO format Number of images: 16287 Number of annotations (number of xml files): 16287 Number of labels (number of txt files): 16287 Number of labeled categories: 10 Classes ：[‘C
PointCloud-Slam-Image-Web3 Aug 26, 2024 Dataset format: VOC + YOLO format Number of images: 3748 Number of annotations (number of xml files): 3748 Number of tags (number of txt files): 3748 Number of
Abstract: The development of an advanced ship detection and identification system is essential for improving maritime safety monitoring and shipping management. This article elaborates on how to apply
Abstract: Developing a vehicle recognition and counting system is of great significance for improving traffic management efficiency and urban planning. This article introduces in detail how to use dee