数据集格式:Pascal VOC格式+YOLO格式(不包含分割路径的txt文件,仅仅包含jpg图片以及对应的VOC格式xml文件和yolo格式txt文件)
图片数量(jpg文件个数):16690
标注数量(xml文件个数):16690
标注数量(txt文件个数):16690
标注类别数:14
标注类别名称:["chicken","daepa","egg","garlic","kimchi","milk","onion","pepper paste","pork","rice cake","soybean paste","spam","tofu","tuna can"]
每个类别标注的框数:
chicken 框数 = 1567
daepa 框数 = 2045
egg 框数 = 3743
garlic 框数 = 1651
kimchi 框数 = 686
milk 框数 = 1404
onion 框数 = 531
pepper paste 框数 = 1279
pork 框数 = 1703
rice cake 框数 = 801
soybean paste 框数 = 1111
spam 框数 = 2343
tofu 框数 = 1988
tuna can 框数 = 1882
总框数:22734
使用标注工具:labelImg
标注规则:对类别进行画矩形框
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【目标检测数据集】食物种检测数据集16690张14类VOC+YOLO.zip
共2000个文件
xml:1999个
txt:1个
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数据集格式:Pascal VOC格式+YOLO格式(不包含分割路径的txt文件,仅仅包含jpg图片以及对应的VOC格式xml文件和yolo格式txt文件) 图片数量(jpg文件个数):16690 标注数量(xml文件个数):16690 标注数量(txt文件个数):16690 标注类别数:14 标注类别名称:["chicken","daepa","egg","garlic","kimchi","milk","onion","pepper paste","pork","rice cake","soybean paste","spam","tofu","tuna can"] 每个类别标注的框数: chicken 框数 = 1567 daepa 框数 = 2045 egg 框数 = 3743 garlic 框数 = 1651 kimchi 框数 = 686 milk 框数 = 1404 onion 框数 = 531 pepper paste 框数 = 1279 pork 框数 = 1703 rice cake 框数 = 801 soybean paste 框数 = 1111 spam 框数 =
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【目标检测数据集】食物种检测数据集16690张14类VOC+YOLO.zip (2000个子文件)
说明.txt 889B
xyxr_images_1901.xml 5KB
xyxr_images_1902.xml 5KB
xyxr_images_7411.xml 4KB
xyxr_images_8261.xml 3KB
xyxr_images_8265.xml 3KB
xyxr_images_4265.xml 3KB
xyxr_images_1853.xml 3KB
xyxr_images_9373.xml 3KB
xyxr_images_9366.xml 3KB
xyxr_images_1340.xml 3KB
xyxr_images_96.xml 3KB
xyxr_images_1622.xml 3KB
xyxr_images_124.xml 3KB
xyxr_images_4731.xml 3KB
xyxr_images_148.xml 3KB
xyxr_images_10866.xml 3KB
xyxr_images_9855.xml 3KB
xyxr_images_9851.xml 3KB
xyxr_images_9874.xml 3KB
xyxr_images_149.xml 3KB
xyxr_images_7631.xml 3KB
xyxr_images_11114.xml 3KB
xyxr_images_6572.xml 3KB
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xyxr_images_8486.xml 1KB
xyxr_images_5472.xml 1KB
xyxr_images_2124.xml 1KB
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