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/101.jpg
datasets/images/1012.jpg
datasets/images/1013.jpg
datasets/images/1014.jpg
datasets/images/1016.jpg
datasets/images/1017.jpg
datasets/images/1018.jpg
datasets/images/102.jpg
datasets/images/1021.jpg
datasets/images/1022.jpg
datasets/images/1023.jpg
datasets/images/1024.jpg
datasets/images/1027.jpg
datasets/images/1029.jpg
datasets/images/103.jpg
datasets/images/1030.jpg
datasets/images/1031.jpg
datasets/images/1032.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/1041.jpg
datasets/images/1042.jpg
datasets/images/1043.jpg
datasets/images/1045.jpg
datasets/images/1046.jpg
datasets/images/1048.jpg
datasets/images/1049.jpg
datasets/images/105.jpg
datasets/images/1051.jpg
datasets/images/1052.jpg
datasets/images/1053.jpg
datasets/images/1054.jpg
datasets/images/1057.jpg
datasets/images/1058.jpg
datasets/images/1059.jpg
datasets/images/1061.jpg
datasets/images/1062.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/1071.jpg
datasets/images/1072.jpg
datasets/images/1073.jpg
datasets/images/1074.jpg
datasets/images/1075.jpg
datasets/images/1076.jpg
datasets/images/1077.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/1087.jpg
datasets/images/1088.jpg
datasets/images/1089.jpg
datasets/images/1090.jpg
datasets/images/1091.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/1102.jpg
datasets/images/1104.jpg
datasets/images/1105.jpg
datasets/images/1106.jpg
datasets/images/1107.jpg
datasets/images/1110.jpg
datasets/images/1111.jpg
datasets/images/1113.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/1121.jpg
datasets/images/1122.jpg
datasets/images/1123.jpg
datasets/images/1124.jpg
datasets/images/1125.jpg
datasets/images/1126.jpg
datasets/images/1128.jpg
datasets/images/1129.jpg
datasets/images/113.jpg
datasets/images/1131.jpg
datasets/images/1132.jpg
datasets/images/1133.jpg
datasets/images/1134.jpg
datasets/images/1136.jpg
datasets/images/1137.jpg
datasets/images/1138.jpg
datasets/images/1139.jpg
datasets/images/1140.jpg
datasets/images/1142.jpg
datasets/images/1144.jpg
datasets/images/1145.jpg
datasets/images/1147.jpg
datasets/images/1148.jpg
datasets/images/1149.jpg
datasets/images/115.jpg
datasets/images/1151.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/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/117.jpg
datasets/images/1170.jpg
datasets/images/1171.jpg
datasets/images/1172.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/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/1191.jpg
datasets/images/1192.jpg
datasets/images/1193.jpg
datasets/images/1194.jpg
datasets/images/1195.jpg
datasets/images/1196.jpg
datasets/images/1197.jpg
datasets/images/1199.jpg
datasets/images/1200.jpg
datasets/images/1201.jpg
datasets/images/1202.jpg
datasets/images/1203.jpg
datasets/images/1205.jpg
datasets/images/1206.jpg
datasets/images/1207.jpg
datasets/images/1208.jpg
datasets/images/1209.jpg
datasets/images/1210.jpg
datasets/images/1211.jpg
datasets/images/1212.jpg
datasets/images/1213.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/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/1237.jpg
datasets/images/1238.jpg
datasets/images/1239.jpg
datasets/images/124.jpg
datasets/images/1240.jpg
datasets/images/1241.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/1248.jpg
datasets/images/1249.jpg
datasets/images/1250.jpg
datasets/images/1251.jpg
datasets/images/1252.jpg
datasets/images/1253.jpg
datasets/images/1254.jpg
datasets/images/1255.jpg
datasets/images/1256.jpg
datasets/images/1257.jpg
datasets/images/1258.jpg
datasets/images/1259.jpg
datasets/images/126.jpg
datasets/images/1262.jpg
datasets/images/1263.jpg
datasets/images/1264.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/1273.jpg
datasets/images/1274.jpg
datasets/images/1276.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/1284.jpg
datasets/images/1285.jpg
datasets/images/1287.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/1295.jpg
datasets/images/1296.jpg
datasets/images/1298.jpg
datasets/images/1299.jpg
datasets/images/13.jpg
datasets/images/1300.jpg
datasets/images/1301.jpg
datasets/images/1304.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/1315.jpg
datasets/images/1316.jpg
datasets/images/1317.jpg
datasets/images/1318.jpg
datasets/images/132.jpg
datasets/images/1320.jpg
datasets/images/1322.jpg
datasets/images/1323.jpg
datasets/images/1324.jpg
datasets/images/1325.jpg
datasets/images/1326.jpg
datasets/images/1327.jpg
datasets/images/1328.jpg
datasets/images/133.jpg
datasets/images/1330.jpg
datasets/images/1331.jpg
datasets/images/1333.jpg
datasets/images/1334.jpg
datasets/images/1335.jpg
datasets/images/1336.jpg
datasets/images/1338.jpg
datasets/images/1339.jpg
datasets/images/1340.jpg
datasets/images/1341.jpg
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
1、YOLO手势目标检测数据集(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手势目标检测数据集(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 564B
6543.xml 1KB
5381.xml 1KB
9941.xml 1KB
5361.xml 1KB
8175.xml 839B
1713.xml 839B
7951.xml 839B
4930.xml 836B
5900.xml 836B
5142.xml 836B
2511.xml 836B
7913.xml 836B
7932.xml 836B
2101.xml 836B
1494.xml 836B
1911.xml 836B
9059.xml 836B
1199.xml 836B
1932.xml 836B
5536.xml 836B
9095.xml 836B
7662.xml 836B
6719.xml 836B
8188.xml 836B
9219.xml 836B
3400.xml 836B
6145.xml 835B
7818.xml 835B
6028.xml 835B
3161.xml 835B
2541.xml 835B
2035.xml 835B
6993.xml 834B
735.xml 834B
6161.xml 833B
1266.xml 832B
1860.xml 831B
6205.xml 831B
4141.xml 831B
6830.xml 831B
9842.xml 830B
1595.xml 830B
5912.xml 830B
6675.xml 830B
7027.xml 830B
6692.xml 830B
6817.xml 830B
3421.xml 830B
9042.xml 830B
4952.xml 830B
4633.xml 830B
4199.xml 829B
2166.xml 829B
6592.xml 829B
9776.xml 829B
9240.xml 829B
7150.xml 829B
6603.xml 829B
8555.xml 829B
8106.xml 829B
6977.xml 829B
3549.xml 829B
8569.xml 829B
4618.xml 829B
3461.xml 829B
1785.xml 829B
3817.xml 829B
9814.xml 829B
8968.xml 829B
7603.xml 829B
6707.xml 829B
2412.xml 829B
7227.xml 829B
5549.xml 829B
3095.xml 829B
6922.xml 828B
7910.xml 828B
1913.xml 828B
6223.xml 828B
1926.xml 828B
7887.xml 828B
3361.xml 828B
971.xml 828B
2263.xml 828B
1484.xml 828B
共 2000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 20
资源评论
- ziyifly852023-11-16YOLO数据集工作室的数据集是自己标注的,他的数据集有展示链接:https://blog.csdn.net/m0_64879847/article/details/132301975 可以根据自己的实际需要下载,不坑人,非常负责。YOLO数据集工作室2023-11-16谢谢支持
YOLO数据集工作室
- 粉丝: 475
- 资源: 1568
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
最新资源
- 基于python开发使用深度学习去预测股票后续的价格+源码+文档(毕业设计&课程设计&项目开发)
- flowable-designer-5.22.0.zip
- threadmanager.cpp
- 腾讯云小程序 - 一站式开发与部署平台
- 基于JSP+Java+Servlet采用MVC模式开发的购物网站+源码(毕业设计&课程设计&项目开发)
- fastgestures安装包,模拟mac的触控板收拾,两指代表右击, 三指拖拽
- 基于组态王的升降式横移立体车库控制系统+源码(毕业设计&课程设计&项目开发)
- 基于python+Django和协同过滤算法的电影推荐系统+源码(毕业设计&课程设计&项目开发)
- 环境配置 vscode+jupyter
- 项目全部代码,还包含使用到的图片
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
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