水果检测多类水果检测数据集13374张67类别有增强

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)：13374 标注数量(xml文件个数)：13374 标注数量(txt文件个数)：13374 标注类别数：67 标注类别名称(注意yolo格式类别顺序不和这个对应，而以labels文件夹classes.txt为准):["apple","apricot","avocado","banana","beetroot","blueberry","cactus","cantaloupe","carambula","cauliflower","cherry","chestnut","clementine","cocos","cucumber","dates","dragon fruit","eggplant","ginger","granadilla","grape","grapefruit","guava","hazelnut","huckleberry","kaki","kiwi","kohlrabi","kumquats","lemon","limes","lychee","mandarine","mango","mangostan","maracuja","melon","mulberry","nectarine","nut","onion","orange","papaya","passion","peach","pear","pepino","pepper","physalis","pineapple","pitahaya","plum","pomegranate","pomelo","potato","quince","rambutan","raspberry","redcurrant","salak","strawberry","sugar apple","tamarillo","tangelo","tomato","walnut","watermelon"] 每个类别标注的框数： apple 框数 = 5449 apricot 框数 = 251 avocado 框数 = 294 banana 框数 = 3774 beetroot 框数 = 296 blueberry 框数 = 236 cactus 框数 = 284 cantaloupe 框数 = 258 carambula 框数 = 238 cauliflower 框数 = 278 cherry 框数 = 254 chestnut 框数 = 255 clementine 框数 = 254 cocos 框数 = 246 cucumber 框数 = 134 dates 框数 = 249 dragon fruit 框数 = 1292 eggplant 框数 = 265 ginger 框数 = 287 granadilla 框数 = 270 grape 框数 = 5237 grapefruit 框数 = 264 guava 框数 = 1272 hazelnut 框数 = 261 huckleberry 框数 = 272 kaki 框数 = 281 kiwi 框数 = 293 kohlrabi 框数 = 266 kumquats 框数 = 285 lemon 框数 = 268 limes 框数 = 271 lychee 框数 = 254 mandarine 框数 = 292 mango 框数 = 584 mangostan 框数 = 262 maracuja 框数 = 265 melon 框数 = 276 mulberry 框数 = 260 nectarine 框数 = 276 nut 框数 = 265 onion 框数 = 285 orange 框数 = 1513 papaya 框数 = 276 passion 框数 = 239 peach 框数 = 1207 pear 框数 = 517 pepino 框数 = 266 pepper 框数 = 278 physalis 框数 = 267 pineapple 框数 = 1090 pitahaya 框数 = 233 plum 框数 = 284 pomegranate 框数 = 262 pomelo 框数 = 243 potato 框数 = 256 quince 框数 = 267 rambutan 框数 = 266 raspberry 框数 = 229 redcurrant 框数 = 276 salak 框数 = 266 strawberry 框数 = 268 sugar apple 框数 = 1255 tamarillo 框数 = 259 tangelo 框数 = 259 tomato 框数 = 736 walnut 框数 = 265 watermelon 框数 = 446 总框数：38576 使用标注工具：labelImg 标注规则：对类别进行画矩形框 重要说明：暂无 特别声明：本数据集不对训练的模型或者权重文件精度作任何保证，数据集只提供准确且合理标注

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