Dataset format: VOC + YOLO format Number of images: 2083 Number of annotations (number of xml files): 2083 Number of labels (number of txt files): 2083 Number of labeled categories: 4 Tagged category
Dataset format: VOC + YOLO format Number of images: 1318 Number of annotations (number of xml files): 1318 Number of labels (number of txt files): 1318 Number of labeled categories: 3 Label category n
Dataset format: VOC + YOLO format Number of images: 7353 Number of annotations (number of XML files): 7353 Number of annotations (number of txt files): 7353 Number of labeled categories: 6 Label categ
Dataset format: VOC + YOLO format Number of images: 1885 Number of annotations (number of XML files): 1885 Number of labels (number of txt files): 1885 Number of labeled categories: 10 Label category
Dataset format: VOC + YOLO format Number of images: 6338 Number of annotations (number of XML files): 6338 Number of labels (number of txt files): 6338 Number of labeled categories: 7 Classes：[‘Excava
Dataset format: VOC + YOLO format Number of images: 9900 Number of annotations (number of xml files): 9900 Number of labels (number of txt files): 9900 Number of labeled categories: 2 Label category n
Dataset format: VOC + YOLO format Number of images: 5837 Number of annotations (number of xml files): 5837 Number of labels (number of txt files): 5837 Number of labeled categories: 4 Label category n
Dataset format: VOC + YOLO format Number of images: 18,975 Number of annotations (number of XML files): 18975 Number of labels (number of txt files): 18975 Number of labeled categories: 97 Classes：ric
Dataset format: VOC + YOLO format Number of images: 1869 (training dataset 1411, validation set 458) Number of annotations (number of XML files): 1869 Number of labels (number of txt files): 1869 Numb
Dataset format: VOC + YOLO format Number of images: 5026 Number of annotations (number of XML files): 5026 Number of labels (number of txt files): 5026 Number of labeled categories: 3 Label category n