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/1007.jpg
datasets/images/1009.jpg
datasets/images/101.jpg
datasets/images/1010.jpg
datasets/images/1012.jpg
datasets/images/1015.jpg
datasets/images/1016.jpg
datasets/images/1018.jpg
datasets/images/1019.jpg
datasets/images/102.jpg
datasets/images/1020.jpg
datasets/images/1021.jpg
datasets/images/1022.jpg
datasets/images/1023.jpg
datasets/images/1024.jpg
datasets/images/1025.jpg
datasets/images/1027.jpg
datasets/images/1028.jpg
datasets/images/1029.jpg
datasets/images/103.jpg
datasets/images/1030.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/1040.jpg
datasets/images/1042.jpg
datasets/images/1043.jpg
datasets/images/1044.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/1057.jpg
datasets/images/1058.jpg
datasets/images/106.jpg
datasets/images/1060.jpg
datasets/images/1061.jpg
datasets/images/1063.jpg
datasets/images/1064.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/1076.jpg
datasets/images/1078.jpg
datasets/images/1079.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/1088.jpg
datasets/images/1089.jpg
datasets/images/109.jpg
datasets/images/1090.jpg
datasets/images/1092.jpg
datasets/images/1093.jpg
datasets/images/1094.jpg
datasets/images/1096.jpg
datasets/images/1097.jpg
datasets/images/1098.jpg
datasets/images/11.jpg
datasets/images/1100.jpg
datasets/images/1101.jpg
datasets/images/1102.jpg
datasets/images/1103.jpg
datasets/images/1104.jpg
datasets/images/1105.jpg
datasets/images/1106.jpg
datasets/images/1107.jpg
datasets/images/1108.jpg
datasets/images/1110.jpg
datasets/images/1112.jpg
datasets/images/1113.jpg
datasets/images/1114.jpg
datasets/images/1115.jpg
datasets/images/1116.jpg
datasets/images/1117.jpg
datasets/images/1119.jpg
datasets/images/112.jpg
datasets/images/1120.jpg
datasets/images/1123.jpg
datasets/images/1124.jpg
datasets/images/1125.jpg
datasets/images/1127.jpg
datasets/images/1128.jpg
datasets/images/1129.jpg
datasets/images/113.jpg
datasets/images/1130.jpg
datasets/images/1131.jpg
datasets/images/1132.jpg
datasets/images/1134.jpg
datasets/images/1135.jpg
datasets/images/1137.jpg
datasets/images/1138.jpg
datasets/images/1139.jpg
datasets/images/1140.jpg
datasets/images/1141.jpg
datasets/images/1143.jpg
datasets/images/1145.jpg
datasets/images/1146.jpg
datasets/images/1147.jpg
datasets/images/1149.jpg
datasets/images/115.jpg
datasets/images/1150.jpg
datasets/images/1152.jpg
datasets/images/1153.jpg
datasets/images/1154.jpg
datasets/images/1155.jpg
datasets/images/1156.jpg
datasets/images/1158.jpg
datasets/images/1159.jpg
datasets/images/116.jpg
datasets/images/1161.jpg
datasets/images/1162.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/117.jpg
datasets/images/1170.jpg
datasets/images/1171.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/1179.jpg
datasets/images/118.jpg
datasets/images/1180.jpg
datasets/images/1181.jpg
datasets/images/1182.jpg
datasets/images/1183.jpg
datasets/images/1185.jpg
datasets/images/1186.jpg
datasets/images/1187.jpg
datasets/images/1188.jpg
datasets/images/1189.jpg
datasets/images/119.jpg
datasets/images/1190.jpg
datasets/images/1192.jpg
datasets/images/1193.jpg
datasets/images/1194.jpg
datasets/images/1195.jpg
datasets/images/1196.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/1209.jpg
datasets/images/121.jpg
datasets/images/1210.jpg
datasets/images/1211.jpg
datasets/images/1213.jpg
datasets/images/1217.jpg
datasets/images/1219.jpg
datasets/images/122.jpg
datasets/images/1220.jpg
datasets/images/1221.jpg
datasets/images/1222.jpg
datasets/images/1223.jpg
datasets/images/1224.jpg
datasets/images/1226.jpg
datasets/images/1227.jpg
datasets/images/1228.jpg
datasets/images/1229.jpg
datasets/images/123.jpg
datasets/images/1230.jpg
datasets/images/1231.jpg
datasets/images/1232.jpg
datasets/images/1233.jpg
datasets/images/1234.jpg
datasets/images/1235.jpg
datasets/images/1236.jpg
datasets/images/1237.jpg
datasets/images/1238.jpg
datasets/images/1239.jpg
datasets/images/124.jpg
datasets/images/1240.jpg
datasets/images/1242.jpg
datasets/images/1243.jpg
datasets/images/1244.jpg
datasets/images/1245.jpg
datasets/images/1246.jpg
datasets/images/1247.jpg
datasets/images/1249.jpg
datasets/images/125.jpg
datasets/images/1250.jpg
datasets/images/1251.jpg
datasets/images/1253.jpg
datasets/images/1254.jpg
datasets/images/1256.jpg
datasets/images/1258.jpg
datasets/images/1259.jpg
datasets/images/126.jpg
datasets/images/1262.jpg
datasets/images/1264.jpg
datasets/images/1265.jpg
datasets/images/1266.jpg
datasets/images/1267.jpg
datasets/images/1269.jpg
datasets/images/127.jpg
datasets/images/1270.jpg
datasets/images/1271.jpg
datasets/images/1272.jpg
datasets/images/1273.jpg
datasets/images/1275.jpg
datasets/images/1276.jpg
datasets/images/1277.jpg
datasets/images/1278.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/1285.jpg
datasets/images/1287.jpg
datasets/images/1289.jpg
datasets/images/1290.jpg
datasets/images/1291.jpg
datasets/images/1292.jpg
datasets/images/1294.jpg
datasets/images/1295.jpg
datasets/images/1296.jpg
datasets/images/1297.jpg
datasets/images/1298.jpg
datasets/images/1299.jpg
datasets/images/13.jpg
datasets/images/130.jpg
datasets/images/1300.jpg
datasets/images/1301.jpg
datasets/images/1302.jpg
datasets/images/1305.jpg
datasets/images/1306.jpg
datasets/images/1307.jpg
datasets/images/1308.jpg
datasets/images/131.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/1317.jpg
datasets/images/1318.jpg
datasets/images/1319.jpg
datasets/images/1320.jpg
datasets/images/1321.jpg
datasets/images/1325.jpg
datasets/images/1326.jpg
datasets/images/1329.jpg
datasets/images/1331.jpg
datasets/images/1332.jpg
datasets/images/1333.jpg
datasets/images/1334.jpg
datasets/images/1335.jpg
datasets/images/1336.jpg
datasets/images/1337.jpg
datasets/images/1338.jpg
datasets/images/134.jpg
datasets/images/1340.jpg
datasets/images/1341.jpg
datasets/images/1342.jpg
datasets/images/1343.jpg
datasets/images/1344.jpg
datasets/images/1345.jpg
datasets/images/1347.jpg
datasets/images/1348.jpg
datasets/images/1349.jpg
datase
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
1、YOLO安全帽通用目标检测数据集(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安全帽通用目标检测数据集(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 303B
4927.xml 48KB
2551.xml 14KB
9505.xml 10KB
5211.xml 10KB
3772.xml 9KB
3095.xml 9KB
2652.xml 8KB
6118.xml 8KB
5688.xml 8KB
9003.xml 8KB
3359.xml 8KB
9152.xml 7KB
2933.xml 7KB
9759.xml 7KB
7478.xml 7KB
8406.xml 7KB
6716.xml 7KB
4423.xml 7KB
8711.xml 7KB
1696.xml 7KB
5807.xml 7KB
5435.xml 7KB
1775.xml 7KB
6543.xml 7KB
2424.xml 7KB
2484.xml 7KB
3941.xml 7KB
4824.xml 7KB
2661.xml 7KB
7633.xml 6KB
6915.xml 6KB
5836.xml 6KB
7598.xml 6KB
3799.xml 6KB
7415.xml 6KB
3848.xml 6KB
7729.xml 6KB
5683.xml 6KB
6739.xml 6KB
9251.xml 6KB
350.xml 6KB
26.xml 6KB
5163.xml 6KB
657.xml 6KB
9801.xml 6KB
5921.xml 6KB
1835.xml 6KB
5503.xml 5KB
395.xml 5KB
8657.xml 5KB
4970.xml 5KB
3420.xml 5KB
8260.xml 5KB
2392.xml 5KB
4853.xml 5KB
4304.xml 5KB
92.xml 5KB
5971.xml 5KB
216.xml 5KB
7042.xml 5KB
5030.xml 5KB
7558.xml 5KB
7749.xml 5KB
169.xml 5KB
7565.xml 5KB
2903.xml 5KB
1360.xml 5KB
3087.xml 5KB
284.xml 5KB
883.xml 5KB
4362.xml 5KB
8366.xml 5KB
7166.xml 5KB
6131.xml 5KB
2524.xml 5KB
495.xml 4KB
7548.xml 4KB
1065.xml 4KB
4367.xml 4KB
9219.xml 4KB
9440.xml 4KB
7849.xml 4KB
910.xml 4KB
7063.xml 4KB
5645.xml 4KB
共 2000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 20
资源评论
YOLO数据集工作室
- 粉丝: 488
- 资源: 1567
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