datasets/images/0.jpg
datasets/images/1.jpg
datasets/images/100.png
datasets/images/101.png
datasets/images/102.jpg
datasets/images/103.png
datasets/images/104.png
datasets/images/105.jpg
datasets/images/106.png
datasets/images/107.jpg
datasets/images/108.jpg
datasets/images/109.jpg
datasets/images/11.png
datasets/images/110.png
datasets/images/112.jpg
datasets/images/114.jpg
datasets/images/115.jpg
datasets/images/117.jpg
datasets/images/118.png
datasets/images/119.png
datasets/images/12.jpg
datasets/images/120.jpg
datasets/images/121.jpg
datasets/images/122.jpg
datasets/images/123.png
datasets/images/124.png
datasets/images/125.jpg
datasets/images/126.jpg
datasets/images/127.png
datasets/images/129.jpg
datasets/images/13.jpg
datasets/images/130.png
datasets/images/132.jpg
datasets/images/133.jpg
datasets/images/134.jpg
datasets/images/135.png
datasets/images/136.png
datasets/images/137.jpg
datasets/images/139.jpg
datasets/images/14.jpg
datasets/images/140.jpg
datasets/images/141.png
datasets/images/143.png
datasets/images/145.jpg
datasets/images/146.png
datasets/images/147.png
datasets/images/148.png
datasets/images/149.png
datasets/images/15.png
datasets/images/150.jpg
datasets/images/151.jpg
datasets/images/152.png
datasets/images/153.jpg
datasets/images/155.jpg
datasets/images/156.jpg
datasets/images/157.jpg
datasets/images/158.png
datasets/images/159.png
datasets/images/16.png
datasets/images/161.png
datasets/images/162.png
datasets/images/163.png
datasets/images/165.jpg
datasets/images/166.png
datasets/images/167.jpg
datasets/images/168.png
datasets/images/169.png
datasets/images/17.png
datasets/images/170.jpg
datasets/images/171.jpg
datasets/images/172.jpg
datasets/images/173.jpg
datasets/images/174.jpg
datasets/images/175.jpg
datasets/images/176.jpg
datasets/images/177.png
datasets/images/178.jpg
datasets/images/18.jpg
datasets/images/181.jpg
datasets/images/182.jpg
datasets/images/183.jpg
datasets/images/184.png
datasets/images/185.jpg
datasets/images/186.png
datasets/images/187.png
datasets/images/188.png
datasets/images/189.jpg
datasets/images/19.png
datasets/images/190.jpg
datasets/images/191.png
datasets/images/192.jpg
datasets/images/193.jpg
datasets/images/194.jpg
datasets/images/195.jpg
datasets/images/196.jpg
datasets/images/197.jpg
datasets/images/198.png
datasets/images/199.png
datasets/images/2.png
datasets/images/20.jpg
datasets/images/200.png
datasets/images/201.png
datasets/images/204.png
datasets/images/205.png
datasets/images/206.jpg
datasets/images/207.jpg
datasets/images/208.png
datasets/images/209.png
datasets/images/21.jpg
datasets/images/211.jpg
datasets/images/212.jpg
datasets/images/213.jpg
datasets/images/214.png
datasets/images/215.jpg
datasets/images/216.png
datasets/images/217.png
datasets/images/218.png
datasets/images/219.jpg
datasets/images/22.png
datasets/images/221.png
datasets/images/222.png
datasets/images/223.jpg
datasets/images/224.png
datasets/images/225.png
datasets/images/226.jpg
datasets/images/228.jpg
datasets/images/229.jpg
datasets/images/23.png
datasets/images/231.jpg
datasets/images/233.png
datasets/images/235.jpg
datasets/images/236.png
datasets/images/237.jpg
datasets/images/238.png
datasets/images/239.png
datasets/images/240.jpg
datasets/images/242.jpg
datasets/images/244.png
datasets/images/245.jpg
datasets/images/246.png
datasets/images/247.png
datasets/images/248.jpg
datasets/images/250.jpg
datasets/images/251.jpg
datasets/images/253.jpg
datasets/images/254.png
datasets/images/255.jpg
datasets/images/256.png
datasets/images/259.png
datasets/images/26.jpg
datasets/images/260.jpg
datasets/images/261.jpg
datasets/images/262.jpg
datasets/images/263.jpg
datasets/images/265.jpg
datasets/images/266.png
datasets/images/267.png
datasets/images/268.png
datasets/images/269.png
datasets/images/27.png
datasets/images/270.jpg
datasets/images/272.jpg
datasets/images/273.jpg
datasets/images/274.png
datasets/images/275.jpg
datasets/images/276.jpg
datasets/images/277.jpg
datasets/images/278.png
datasets/images/279.png
datasets/images/28.jpg
datasets/images/280.jpg
datasets/images/281.png
datasets/images/283.jpg
datasets/images/284.jpg
datasets/images/285.png
datasets/images/287.png
datasets/images/288.png
datasets/images/289.png
datasets/images/29.png
datasets/images/290.jpg
datasets/images/291.png
datasets/images/292.jpg
datasets/images/293.png
datasets/images/294.jpg
datasets/images/295.jpg
datasets/images/296.png
datasets/images/297.jpg
datasets/images/298.png
datasets/images/3.png
datasets/images/30.png
datasets/images/300.png
datasets/images/301.png
datasets/images/302.png
datasets/images/303.jpg
datasets/images/304.jpg
datasets/images/306.png
datasets/images/307.jpg
datasets/images/308.jpg
datasets/images/309.jpg
datasets/images/310.png
datasets/images/311.jpg
datasets/images/312.png
datasets/images/313.jpg
datasets/images/314.png
datasets/images/315.jpg
datasets/images/316.png
datasets/images/317.png
datasets/images/319.jpg
datasets/images/32.png
datasets/images/320.png
datasets/images/321.jpg
datasets/images/323.png
datasets/images/324.png
datasets/images/325.png
datasets/images/327.png
datasets/images/328.jpg
datasets/images/329.png
datasets/images/33.png
datasets/images/331.png
datasets/images/332.jpg
datasets/images/334.png
datasets/images/335.jpg
datasets/images/339.png
datasets/images/34.png
datasets/images/341.png
datasets/images/342.jpg
datasets/images/343.png
datasets/images/344.png
datasets/images/345.png
datasets/images/346.png
datasets/images/347.png
datasets/images/348.jpg
datasets/images/349.png
datasets/images/350.jpg
datasets/images/352.png
datasets/images/353.png
datasets/images/354.png
datasets/images/355.jpg
datasets/images/356.jpg
datasets/images/357.jpg
datasets/images/358.png
datasets/images/359.png
datasets/images/36.jpg
datasets/images/360.png
datasets/images/361.jpg
datasets/images/363.jpg
datasets/images/364.jpg
datasets/images/365.png
datasets/images/367.jpg
datasets/images/368.jpg
datasets/images/369.jpg
datasets/images/37.jpg
datasets/images/371.png
datasets/images/372.jpg
datasets/images/373.png
datasets/images/375.jpg
datasets/images/376.png
datasets/images/378.png
datasets/images/379.jpg
datasets/images/38.jpg
datasets/images/380.png
datasets/images/381.png
datasets/images/382.png
datasets/images/383.jpg
datasets/images/384.png
datasets/images/385.jpg
datasets/images/386.png
datasets/images/389.png
datasets/images/39.png
datasets/images/390.png
datasets/images/391.jpg
datasets/images/392.png
datasets/images/393.jpg
datasets/images/394.png
datasets/images/396.jpg
datasets/images/397.jpg
datasets/images/398.jpg
datasets/images/399.png
datasets/images/4.jpg
datasets/images/40.jpg
datasets/images/400.jpg
datasets/images/401.png
datasets/images/402.png
datasets/images/404.jpg
datasets/images/407.png
datasets/images/409.jpg
datasets/images/41.jpg
datasets/images/411.png
datasets/images/412.jpg
datasets/images/413.png
datasets/images/414.jpg
datasets/images/416.png
datasets/images/417.jpg
datasets/images/418.jpg
datasets/images/419.png
datasets/images/42.png
datasets/images/420.png
datasets/images/421.png
datasets/images/423.jpg
datasets/images/424.png
datasets/images/425.png
datasets/images/426.png
datasets/images/427.png
datasets/images/428.jpg
datasets/images/431.png
datasets/images/432.jpg
datasets/images/433.jpg
datasets/images/435.jpg
datasets/images/436.jpg
datasets/images/437.png
datasets/images/439.png
datasets/images/44.png
datasets/images/440.jpg
datasets/images/442.png
datasets/images/443.png
datasets/images/444.jpg
datasets/images/445.jpg
datasets/images/446.jpg
datasets/images/447.png
datasets/images/448.jpg
datasets/images/449.jpg
datasets/images
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
1、YOLO目标检测数据集,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
资源推荐
资源详情
资源评论
收起资源包目录
YOLO昏暗车辆目标检测数据集(含1000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 40KB
3、YOLO训练教程Linux版本(根据案例修改训练自己的数据集).html 19KB
2、YOLO训练教程Windows版本(根据案例修改训练自己的数据集).html 14KB
1、YOLO环境搭建Windows版本.html 13KB
1、Linux之Ubuntu环境安装教程.html 8KB
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 19KB
trainval_list.txt 5KB
test_list.txt 4KB
531.txt 1KB
47.txt 1KB
891.txt 1KB
814.txt 1KB
val_list.txt 995B
929.txt 991B
49.txt 981B
995.txt 978B
775.txt 974B
490.txt 970B
229.txt 969B
206.txt 911B
267.txt 910B
421.txt 909B
27.txt 902B
650.txt 902B
337.txt 901B
612.txt 900B
726.txt 895B
534.txt 895B
630.txt 895B
554.txt 895B
806.txt 893B
587.txt 893B
requirements.txt 892B
465.txt 892B
790.txt 889B
86.txt 887B
723.txt 887B
395.txt 886B
203.txt 883B
617.txt 878B
732.txt 877B
190.txt 874B
46.txt 822B
556.txt 821B
503.txt 820B
70.txt 820B
228.txt 818B
502.txt 817B
978.txt 817B
45.txt 817B
714.txt 816B
883.txt 816B
879.txt 810B
705.txt 810B
423.txt 803B
384.txt 800B
18.txt 799B
649.txt 798B
287.txt 793B
810.txt 790B
387.txt 780B
97.txt 746B
838.txt 746B
842.txt 746B
828.txt 744B
601.txt 743B
766.txt 742B
685.txt 742B
180.txt 741B
282.txt 741B
807.txt 741B
645.txt 741B
495.txt 740B
211.txt 740B
193.txt 740B
639.txt 740B
663.txt 739B
244.txt 738B
35.txt 737B
594.txt 735B
459.txt 733B
434.txt 732B
624.txt 731B
704.txt 730B
931.txt 730B
610.txt 728B
815.txt 728B
89.txt 728B
749.txt 728B
59.txt 727B
67.txt 727B
127.txt 725B
690.txt 722B
332.txt 720B
668.txt 720B
328.txt 718B
共 2000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 20
资源评论
- 袁袁袁袁满2023-11-27数据集和标签质量非常棒,标签是手动标注的很棒可以直接用于yolo训练,节省标注时间 #完美解决问题 #运行顺畅 #内容详尽 #全网独家 #注释完整
- weixin_439880302024-01-03果断支持这个资源,资源解决了当前遇到的问题,给了新的灵感,感谢分享~
- m0_701230462024-04-30实在是宝藏资源、宝藏分享者!感谢大佬~
YOLO数据集工作室
- 粉丝: 478
- 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Java和深度学习的瓦斯浓度预测系统后端设计源码 - 瓦斯浓度预测后端
- Screenshot_20240528_103010.jpg
- 基于Python的新能源承载力计算及界面设计源码 - HAINING-DG
- 基于Java的本科探索学习项目设计源码 - 本科探索
- 基于Javascript和Python的微商城项目设计源码 - MicroMall
- 基于Java的网上订餐系统设计源码 - online ordering system
- 基于Javascript的超级美眉网络资源管理应用模块设计源码
- 基于Typescript和PHP的编程知识储备库设计源码 - study-php
- Screenshot_2024-05-28-11-40-58-177_com.tencent.mm.jpg
- 基于Dart的Flutter小提琴调音器APP设计源码 - violinhelper
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