datasets/images/0.jpg
datasets/images/1.jpg
datasets/images/10.jpg
datasets/images/100.jpg
datasets/images/1000.jpg
datasets/images/1001.jpg
datasets/images/1002.jpg
datasets/images/1003.jpg
datasets/images/1004.jpg
datasets/images/1005.jpg
datasets/images/1006.jpg
datasets/images/1007.jpg
datasets/images/1008.jpg
datasets/images/1009.jpg
datasets/images/1010.jpg
datasets/images/1011.jpg
datasets/images/1012.jpg
datasets/images/1013.jpg
datasets/images/1014.jpg
datasets/images/1015.jpg
datasets/images/1016.jpg
datasets/images/1017.jpg
datasets/images/1018.jpg
datasets/images/102.jpg
datasets/images/1023.jpg
datasets/images/1024.jpg
datasets/images/1025.jpg
datasets/images/1026.jpg
datasets/images/1027.jpg
datasets/images/1028.jpg
datasets/images/1029.jpg
datasets/images/103.jpg
datasets/images/1031.jpg
datasets/images/1032.jpg
datasets/images/1033.jpg
datasets/images/1034.jpg
datasets/images/1035.jpg
datasets/images/1036.jpg
datasets/images/1037.jpg
datasets/images/1038.jpg
datasets/images/1039.jpg
datasets/images/104.jpg
datasets/images/1040.jpg
datasets/images/1041.jpg
datasets/images/1043.jpg
datasets/images/1045.jpg
datasets/images/1046.jpg
datasets/images/1047.jpg
datasets/images/1048.jpg
datasets/images/1049.jpg
datasets/images/105.jpg
datasets/images/1050.jpg
datasets/images/1051.jpg
datasets/images/1052.jpg
datasets/images/1056.jpg
datasets/images/1057.jpg
datasets/images/1058.jpg
datasets/images/1059.jpg
datasets/images/1060.jpg
datasets/images/1061.jpg
datasets/images/1062.jpg
datasets/images/1063.jpg
datasets/images/1064.jpg
datasets/images/1065.jpg
datasets/images/1066.jpg
datasets/images/1067.jpg
datasets/images/1068.jpg
datasets/images/107.jpg
datasets/images/1070.jpg
datasets/images/1071.jpg
datasets/images/1072.jpg
datasets/images/1073.jpg
datasets/images/1074.jpg
datasets/images/1075.jpg
datasets/images/1077.jpg
datasets/images/1078.jpg
datasets/images/108.jpg
datasets/images/1080.jpg
datasets/images/1081.jpg
datasets/images/1082.jpg
datasets/images/1083.jpg
datasets/images/1084.jpg
datasets/images/1085.jpg
datasets/images/1086.jpg
datasets/images/1087.jpg
datasets/images/1088.jpg
datasets/images/1089.jpg
datasets/images/109.jpg
datasets/images/1090.jpg
datasets/images/1091.jpg
datasets/images/1092.jpg
datasets/images/1093.jpg
datasets/images/1094.jpg
datasets/images/1095.jpg
datasets/images/1096.jpg
datasets/images/1097.jpg
datasets/images/11.jpg
datasets/images/110.jpg
datasets/images/1100.jpg
datasets/images/1101.jpg
datasets/images/1102.jpg
datasets/images/1104.jpg
datasets/images/1105.jpg
datasets/images/1106.jpg
datasets/images/1108.jpg
datasets/images/1109.jpg
datasets/images/1111.jpg
datasets/images/1112.jpg
datasets/images/1114.jpg
datasets/images/1115.jpg
datasets/images/1116.jpg
datasets/images/1117.jpg
datasets/images/1118.jpg
datasets/images/112.jpg
datasets/images/1120.jpg
datasets/images/1121.jpg
datasets/images/1122.jpg
datasets/images/1123.jpg
datasets/images/1125.jpg
datasets/images/1126.jpg
datasets/images/1127.jpg
datasets/images/1128.jpg
datasets/images/1130.jpg
datasets/images/1132.jpg
datasets/images/1133.jpg
datasets/images/1134.jpg
datasets/images/1135.jpg
datasets/images/1136.jpg
datasets/images/1137.jpg
datasets/images/1139.jpg
datasets/images/114.jpg
datasets/images/1140.jpg
datasets/images/1141.jpg
datasets/images/1142.jpg
datasets/images/1143.jpg
datasets/images/1144.jpg
datasets/images/1146.jpg
datasets/images/1147.jpg
datasets/images/1148.jpg
datasets/images/1149.jpg
datasets/images/115.jpg
datasets/images/1150.jpg
datasets/images/1151.jpg
datasets/images/1152.jpg
datasets/images/1154.jpg
datasets/images/1156.jpg
datasets/images/1157.jpg
datasets/images/1158.jpg
datasets/images/1159.jpg
datasets/images/116.jpg
datasets/images/1160.jpg
datasets/images/1161.jpg
datasets/images/1162.jpg
datasets/images/1163.jpg
datasets/images/1164.jpg
datasets/images/1165.jpg
datasets/images/1166.jpg
datasets/images/1167.jpg
datasets/images/1168.jpg
datasets/images/1169.jpg
datasets/images/1170.jpg
datasets/images/1172.jpg
datasets/images/1173.jpg
datasets/images/1174.jpg
datasets/images/1175.jpg
datasets/images/1176.jpg
datasets/images/1177.jpg
datasets/images/1178.jpg
datasets/images/1179.jpg
datasets/images/118.jpg
datasets/images/1180.jpg
datasets/images/1181.jpg
datasets/images/1182.jpg
datasets/images/1183.jpg
datasets/images/1184.jpg
datasets/images/1185.jpg
datasets/images/1186.jpg
datasets/images/1188.jpg
datasets/images/1189.jpg
datasets/images/1190.jpg
datasets/images/1191.jpg
datasets/images/1192.jpg
datasets/images/1194.jpg
datasets/images/1195.jpg
datasets/images/1197.jpg
datasets/images/1198.jpg
datasets/images/1199.jpg
datasets/images/12.jpg
datasets/images/120.jpg
datasets/images/1200.jpg
datasets/images/1202.jpg
datasets/images/1203.jpg
datasets/images/1204.jpg
datasets/images/1206.jpg
datasets/images/1207.jpg
datasets/images/1208.jpg
datasets/images/121.jpg
datasets/images/1210.jpg
datasets/images/1211.jpg
datasets/images/1212.jpg
datasets/images/1214.jpg
datasets/images/1215.jpg
datasets/images/1216.jpg
datasets/images/1217.jpg
datasets/images/1218.jpg
datasets/images/1219.jpg
datasets/images/122.jpg
datasets/images/1220.jpg
datasets/images/1221.jpg
datasets/images/1222.jpg
datasets/images/1224.jpg
datasets/images/1226.jpg
datasets/images/1229.jpg
datasets/images/123.jpg
datasets/images/1230.jpg
datasets/images/1233.jpg
datasets/images/1234.jpg
datasets/images/1235.jpg
datasets/images/1236.jpg
datasets/images/1238.jpg
datasets/images/1239.jpg
datasets/images/1240.jpg
datasets/images/1241.jpg
datasets/images/1243.jpg
datasets/images/1244.jpg
datasets/images/1245.jpg
datasets/images/1246.jpg
datasets/images/1247.jpg
datasets/images/1248.jpg
datasets/images/1249.jpg
datasets/images/125.jpg
datasets/images/1250.jpg
datasets/images/1251.jpg
datasets/images/1252.jpg
datasets/images/1253.jpg
datasets/images/1254.jpg
datasets/images/1256.jpg
datasets/images/1257.jpg
datasets/images/1258.jpg
datasets/images/1259.jpg
datasets/images/126.jpg
datasets/images/1260.jpg
datasets/images/1261.jpg
datasets/images/1262.jpg
datasets/images/1263.jpg
datasets/images/1264.jpg
datasets/images/1265.jpg
datasets/images/1266.jpg
datasets/images/1267.jpg
datasets/images/1268.jpg
datasets/images/1269.jpg
datasets/images/127.jpg
datasets/images/1270.jpg
datasets/images/1271.jpg
datasets/images/1272.jpg
datasets/images/1274.jpg
datasets/images/1275.jpg
datasets/images/1279.jpg
datasets/images/128.jpg
datasets/images/1280.jpg
datasets/images/1281.jpg
datasets/images/1282.jpg
datasets/images/1283.jpg
datasets/images/1284.jpg
datasets/images/1285.jpg
datasets/images/1286.jpg
datasets/images/1288.jpg
datasets/images/1289.jpg
datasets/images/129.jpg
datasets/images/1290.jpg
datasets/images/1291.jpg
datasets/images/1292.jpg
datasets/images/1293.jpg
datasets/images/1294.jpg
datasets/images/1296.jpg
datasets/images/1297.jpg
datasets/images/1298.jpg
datasets/images/1299.jpg
datasets/images/130.jpg
datasets/images/1300.jpg
datasets/images/1301.jpg
datasets/images/1302.jpg
datasets/images/1304.jpg
datasets/images/1305.jpg
datasets/images/1306.jpg
datasets/images/1307.jpg
datasets/images/1308.jpg
datasets/images/1310.jpg
datasets/images/1311.jpg
datasets/images/1312.jpg
datasets/images/1313.jpg
datasets/images/1314.jpg
datasets/images/1315.jpg
datasets/images/1316.jpg
datasets/images/1317.jpg
datasets/images/1318.jpg
datasets/images/1319.jpg
datasets/images/132.jpg
datasets/images/1320.jpg
datasets/images/1321.jpg
datasets/images/1322.jpg
datasets/images/1323.jpg
datasets/images/1324.jpg
datasets/images/1327.jpg
datasets/images/1329.jpg
datasets/images/1330.jpg
datasets/images/1331.jpg
datasets/images/1332.jpg
datasets/images/1333.jpg
data
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
1、YOLO葡萄叶片病害检测数据集(含10000张图片),真实场景的高质量图片数据,数据场景丰富。使用lableimg标注软件标注,标注框质量高,含voc(xml)、coco(json)和yolo(txt)三种格式标签,分别存放在不同文件夹下,可以直接用于YOLO系列的目标检测。 2、附赠YOLO环境搭建、训练案例教程和数据集划分脚本,可以根据需求自行划分训练集、验证集、测试集。 3、数据集详情展示和更多数据集下载:https://blog.csdn.net/m0_64879847/article/details/132301975 4、如需 其他种类数据集 或 更多数量 请私信博主
资源推荐
资源详情
资源评论
收起资源包目录
YOLO葡萄叶片病害检测数据集(含10000张图片)+对应voc、coco和yolo三种格式标签+划分脚本+训练教程.rar (2000个子文件)
1. 三个数据集划分脚本使用说明.html 46KB
2、YOLO环境搭建Linux版本.html 41KB
3、YOLO训练教程Linux版本(根据案例修改训练自己的数据集).html 20KB
2、YOLO训练教程Windows版本(根据案例修改训练自己的数据集).html 16KB
1、YOLO环境搭建Windows版本.html 14KB
1、Linux之Ubuntu环境安装教程.html 9KB
训练集、验证集、测试集划分脚本(图片标签划分写入新文件夹).py 3KB
训练集、验证集划分脚本(图片标签划分写入新文件夹).py 3KB
split_train_val生成ImageSets下txt文件划分脚本.py 1KB
train_list.txt 202KB
trainval_list.txt 51KB
test_list.txt 40KB
val_list.txt 10KB
requirements.txt 892B
标签类别说明.txt 298B
60.xml 6KB
4994.xml 5KB
2444.xml 4KB
9205.xml 4KB
5881.xml 4KB
2227.xml 4KB
7727.xml 4KB
9891.xml 4KB
8087.xml 4KB
5516.xml 3KB
5659.xml 3KB
2502.xml 3KB
3802.xml 3KB
3224.xml 3KB
8270.xml 3KB
3100.xml 3KB
8452.xml 3KB
2116.xml 3KB
2948.xml 3KB
2065.xml 3KB
6650.xml 3KB
9525.xml 3KB
9463.xml 3KB
8366.xml 3KB
3817.xml 3KB
2167.xml 3KB
8223.xml 3KB
2321.xml 3KB
2166.xml 3KB
9240.xml 3KB
460.xml 3KB
991.xml 3KB
8127.xml 3KB
9578.xml 3KB
5471.xml 3KB
8492.xml 3KB
1853.xml 3KB
3848.xml 3KB
2549.xml 3KB
2986.xml 3KB
237.xml 3KB
141.xml 3KB
9312.xml 3KB
3359.xml 3KB
4168.xml 3KB
5027.xml 3KB
7460.xml 3KB
1710.xml 3KB
9088.xml 3KB
3859.xml 3KB
6722.xml 3KB
1932.xml 3KB
923.xml 3KB
2469.xml 3KB
6895.xml 3KB
3749.xml 3KB
6676.xml 3KB
201.xml 3KB
1290.xml 3KB
7448.xml 3KB
9226.xml 3KB
7560.xml 3KB
2966.xml 3KB
839.xml 3KB
9386.xml 3KB
2526.xml 3KB
531.xml 3KB
5377.xml 3KB
1667.xml 3KB
2733.xml 3KB
4690.xml 3KB
156.xml 3KB
5099.xml 3KB
3574.xml 3KB
5614.xml 3KB
1099.xml 3KB
1222.xml 3KB
8334.xml 3KB
5883.xml 3KB
4832.xml 3KB
1980.xml 3KB
7191.xml 3KB
4167.xml 3KB
3766.xml 3KB
7716.xml 3KB
共 2000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 20
资源评论
- weixin_62495322024-04-12资源太好了,解决了我当下遇到的难题,抱紧大佬的大腿~
- 中山国2023-11-21资源内容详实,描述详尽,解决了我的问题,受益匪浅,学到了。
YOLO数据集工作室
- 粉丝: 482
- 资源: 1569
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功