停车场停车位数据集,标注停车位上是否有车,平均正确识别率99.5%,支持yolov5-11, coco json,darknet,xml格式标注

embedded/2025/3/22 23:40:00/

停车场>停车场停车位数据集,标注停车位上是否有车,平均正确识别率98.0%,支持yolov5-11, coco json,darknet,xml格式标注

数据集-识别停车场>停车场所有车辆的数据集

数据集分割

一共184张图片

训练组 89%164图片   有效集 5%10图片 测试集 5%10图片

预处理

自动定向: 已应用
调整大小: 拉伸至 640x640

增强

未应用任何增强。
标签:car

模型相关

模型精度:
训练图:

数据集下载

yolov11:https://download.csdn.net/download/pbymw8iwm/90493657

yolo v9: https://download.csdn.net/download/pbymw8iwm/90493659

yolo v8:https://download.csdn.net/download/pbymw8iwm/90493655

yolo v7:https://download.csdn.net/download/pbymw8iwm/90493652

yolo v5: https://download.csdn.net/download/pbymw8iwm/90493654

pasical voc xml: https://download.csdn.net/download/pbymw8iwm/90493658

coco json:https://download.csdn.net/download/pbymw8iwm/90493653

darknet:https://download.csdn.net/download/pbymw8iwm/90493656

测试

测试结果:
选择一张图片,使用训练模型测试结果:
得到的带标签信息如下:
{
  "predictions": [
    {
      "x": 370,
      "y": 331.5,
      "width": 24,
      "height": 53,
      "confidence": 0.949,
      "class": "car",
      "class_id": 0,
      "detection_id": "29225da4-f8d3-4d79-afbf-5a714c398853"
    },
    {
      "x": 688.5,
      "y": 382,
      "width": 31,
      "height": 62,
      "confidence": 0.948,
      "class": "car",
      "class_id": 0,
      "detection_id": "49a65dc0-d1ae-4588-911f-f9993dd1477b"
    },
    {
      "x": 335.5,
      "y": 395,
      "width": 33,
      "height": 64,
      "confidence": 0.944,
      "class": "car",
      "class_id": 0,
      "detection_id": "56ce0edd-d2d9-455c-b473-22bff0dc6e44"
    },
    {
      "x": 157,
      "y": 332.5,
      "width": 28,
      "height": 59,
      "confidence": 0.944,
      "class": "car",
      "class_id": 0,
      "detection_id": "375cd2f8-77b0-446a-adc4-3932c9be9094"
    },
    {
      "x": 294.5,
      "y": 78,
      "width": 27,
      "height": 62,
      "confidence": 0.943,
      "class": "car",
      "class_id": 0,
      "detection_id": "1b112804-e11a-4438-a72c-5f0d069b6657"
    },
    {
      "x": 408.5,
      "y": 77.5,
      "width": 29,
      "height": 59,
      "confidence": 0.941,
      "class": "car",
      "class_id": 0,
      "detection_id": "30272635-3b8c-489d-b94f-a2224466738c"
    },
    {
      "x": 546,
      "y": 165,
      "width": 32,
      "height": 60,
      "confidence": 0.94,
      "class": "car",
      "class_id": 0,
      "detection_id": "61e22e73-08ce-4946-8b1b-e8ca6aa77eac"
    },
    {
      "x": 263.5,
      "y": 401.5,
      "width": 29,
      "height": 61,
      "confidence": 0.938,
      "class": "car",
      "class_id": 0,
      "detection_id": "e44d3c77-a2ee-4b7b-924d-32f9724274f4"
    },
    {
      "x": 298.5,
      "y": 393,
      "width": 27,
      "height": 60,
      "confidence": 0.938,
      "class": "car",
      "class_id": 0,
      "detection_id": "5566c168-d95d-4812-a218-8c0ac9074d22"
    },
    {
      "x": 510.5,
      "y": 323,
      "width": 31,
      "height": 64,
      "confidence": 0.937,
      "class": "car",
      "class_id": 0,
      "detection_id": "c4f60f66-5056-449d-bcd6-8600fab14685"
    },
    {
      "x": 475,
      "y": 386,
      "width": 38,
      "height": 68,
      "confidence": 0.935,
      "class": "car",
      "class_id": 0,
      "detection_id": "0629eb97-58f5-4f16-9a58-d8982d08ff82"
    },
    {
      "x": 403,
      "y": 164.5,
      "width": 30,
      "height": 59,
      "confidence": 0.933,
      "class": "car",
      "class_id": 0,
      "detection_id": "e360515c-c077-46a7-91f8-63b3db38f9b0"
    },
    {
      "x": 725,
      "y": 316.5,
      "width": 30,
      "height": 55,
      "confidence": 0.933,
      "class": "car",
      "class_id": 0,
      "detection_id": "120d874a-8160-41fd-8c4c-3e00f6072db2"
    },
    {
      "x": 336.5,
      "y": 329.5,
      "width": 31,
      "height": 57,
      "confidence": 0.932,
      "class": "car",
      "class_id": 0,
      "detection_id": "f7fb8ebd-2179-444d-a4c3-7a3b73f2fe53"
    },
    {
      "x": 329.5,
      "y": 76.5,
      "width": 29,
      "height": 61,
      "confidence": 0.932,
      "class": "car",
      "class_id": 0,
      "detection_id": "b5439ec8-a2c7-46dc-92dd-75f8a2695d85"
    },
    {
      "x": 226.5,
      "y": 327,
      "width": 31,
      "height": 64,
      "confidence": 0.931,
      "class": "car",
      "class_id": 0,
      "detection_id": "ebf26d7a-1253-49ff-b90d-2294a427cbd1"
    },
    {
      "x": 440.5,
      "y": 318.5,
      "width": 29,
      "height": 65,
      "confidence": 0.931,
      "class": "car",
      "class_id": 0,
      "detection_id": "e7f9c478-250c-4f4f-bca9-1ecca04d3fc7"
    },
    {
      "x": 547,
      "y": 327,
      "width": 34,
      "height": 58,
      "confidence": 0.93,
      "class": "car",
      "class_id": 0,
      "detection_id": "6782c6c8-ab11-4401-93ac-b25273070fde"
    },
    {
      "x": 653,
      "y": 379.5,
      "width": 34,
      "height": 63,
      "confidence": 0.928,
      "class": "car",
      "class_id": 0,
      "detection_id": "e215174a-b6c3-4cc2-be60-5b6e2044e782"
    },
    {
      "x": 298.5,
      "y": 333,
      "width": 29,
      "height": 54,
      "confidence": 0.928,
      "class": "car",
      "class_id": 0,
      "detection_id": "676324bf-ce8a-4032-aa34-26ea00ee1a7c"
    },
    {
      "x": 159,
      "y": 396.5,
      "width": 30,
      "height": 59,
      "confidence": 0.927,
      "class": "car",
      "class_id": 0,
      "detection_id": "883b9f4a-4509-4985-aa55-063b00257bc1"
    },
    {
      "x": 439.5,
      "y": 169,
      "width": 29,
      "height": 62,
      "confidence": 0.927,
      "class": "car",
      "class_id": 0,
      "detection_id": "30fc4b09-c7f4-48ed-8fec-25c626eaa345"
    },
    {
      "x": 372.5,
      "y": 394,
      "width": 31,
      "height": 60,
      "confidence": 0.925,
      "class": "car",
      "class_id": 0,
      "detection_id": "3c5768ba-d45f-40d0-9894-9f2f247eb0c6"
    },
    {
      "x": 722.5,
      "y": 150,
      "width": 35,
      "height": 60,
      "confidence": 0.925,
      "class": "car",
      "class_id": 0,
      "detection_id": "217e8924-d08b-4479-87c1-da777b8a757d"
    },
    {
      "x": 579,
      "y": 321.5,
      "width": 32,
      "height": 59,
      "confidence": 0.925,
      "class": "car",
      "class_id": 0,
      "detection_id": "dd594a9d-b0cd-4819-acf3-27f7af8031a3"
    },
    {
      "x": 367,
      "y": 169.5,
      "width": 30,
      "height": 61,
      "confidence": 0.924,
      "class": "car",
      "class_id": 0,
      "detection_id": "9989f933-0a81-47c4-bdef-501045223311"
    },
    {
      "x": 581,
      "y": 386.5,
      "width": 32,
      "height": 65,
      "confidence": 0.924,
      "class": "car",
      "class_id": 0,
      "detection_id": "fae7ee69-cd6f-4bef-bf59-83b32f649cfe"
    },
    {
      "x": 687.5,
      "y": 311.5,
      "width": 31,
      "height": 63,
      "confidence": 0.924,
      "class": "car",
      "class_id": 0,
      "detection_id": "6a030e0b-c8a8-4ff8-8528-cadef00e6d97"
    },
    {
      "x": 616,
      "y": 314.5,
      "width": 30,
      "height": 61,
      "confidence": 0.923,
      "class": "car",
      "class_id": 0,
      "detection_id": "5e66db4d-9ebf-4fd1-9a07-821eb2354c2e"
    },
    {
      "x": 335,
      "y": 169.5,
      "width": 34,
      "height": 63,
      "confidence": 0.923,
      "class": "car",
      "class_id": 0,
      "detection_id": "57e88119-6208-4ab0-a4ca-79c2eea5aaf9"
    },
    {
      "x": 236,
      "y": 74.5,
      "width": 30,
      "height": 57,
      "confidence": 0.921,
      "class": "car",
      "class_id": 0,
      "detection_id": "c8906aa4-a3e7-465c-8656-86c8c489f581"
    },
    {
      "x": 618,
      "y": 384,
      "width": 32,
      "height": 62,
      "confidence": 0.921,
      "class": "car",
      "class_id": 0,
      "detection_id": "5be22dd2-16c2-4db1-9cc7-feb6fc51e266"
    },
    {
      "x": 367,
      "y": 78.5,
      "width": 28,
      "height": 57,
      "confidence": 0.919,
      "class": "car",
      "class_id": 0,
      "detection_id": "161becd9-d287-41cd-afc0-c8f23c8dcd7d"
    },
    {
      "x": 226,
      "y": 399,
      "width": 28,
      "height": 64,
      "confidence": 0.919,
      "class": "car",
      "class_id": 0,
      "detection_id": "3d78e19e-5665-4ea8-be87-7d33b47f9178"
    },
    {
      "x": 289,
      "y": 233.5,
      "width": 36,
      "height": 65,
      "confidence": 0.917,
      "class": "car",
      "class_id": 0,
      "detection_id": "53696b41-9a5e-4eb5-800e-385251a6f3af"
    },
    {
      "x": 653.5,
      "y": 63.5,
      "width": 35,
      "height": 65,
      "confidence": 0.917,
      "class": "car",
      "class_id": 0,
      "detection_id": "013c54bd-6cb5-4458-b926-af3265283cea"
    },
    {
      "x": 441.5,
      "y": 392,
      "width": 31,
      "height": 60,
      "confidence": 0.914,
      "class": "car",
      "class_id": 0,
      "detection_id": "e7e69894-70a2-41e8-ab0d-f98f2daf03a1"
    },
    {
      "x": 159,
      "y": 184,
      "width": 72,
      "height": 32,
      "confidence": 0.914,
      "class": "car",
      "class_id": 0,
      "detection_id": "81e37fd9-0baf-4a03-bdcf-a67269f908f7"
    },
    {
      "x": 791,
      "y": 54.5,
      "width": 36,
      "height": 65,
      "confidence": 0.913,
      "class": "car",
      "class_id": 0,
      "detection_id": "605422f3-9111-4014-a673-8f4a04207680"
    },
    {
      "x": 539,
      "y": 70,
      "width": 26,
      "height": 62,
      "confidence": 0.912,
      "class": "car",
      "class_id": 0,
      "detection_id": "5c793187-441f-46ef-9e58-8c9e093ac781"
    },
    {
      "x": 475.5,
      "y": 321.5,
      "width": 31,
      "height": 65,
      "confidence": 0.911,
      "class": "car",
      "class_id": 0,
      "detection_id": "7359fdff-3c06-4543-a283-52effb58186c"
    },
    {
      "x": 510.5,
      "y": 168,
      "width": 35,
      "height": 64,
      "confidence": 0.911,
      "class": "car",
      "class_id": 0,
      "detection_id": "75cfa12f-8bb0-4e3f-9b31-b6e2cf44d68c"
    },
    {
      "x": 497,
      "y": 73,
      "width": 32,
      "height": 64,
      "confidence": 0.909,
      "class": "car",
      "class_id": 0,
      "detection_id": "1315e507-c540-4acd-8a84-b3610586d0e7"
    },
    {
      "x": 160,
      "y": 77,
      "width": 30,
      "height": 54,
      "confidence": 0.907,
      "class": "car",
      "class_id": 0,
      "detection_id": "2043d8f2-1efd-42e8-b46a-9b44a3b7df79"
    },
    {
      "x": 686.5,
      "y": 149,
      "width": 33,
      "height": 62,
      "confidence": 0.907,
      "class": "car",
      "class_id": 0,
      "detection_id": "5a006048-d01c-4324-a3b2-6acf59b99e13"
    },
    {
      "x": 652.5,
      "y": 310,
      "width": 25,
      "height": 62,
      "confidence": 0.906,
      "class": "car",
      "class_id": 0,
      "detection_id": "a2b3b419-ad93-4310-9f01-e605d01a088f"
    },
    {
      "x": 196.5,
      "y": 77,
      "width": 33,
      "height": 56,
      "confidence": 0.905,
      "class": "car",
      "class_id": 0,
      "detection_id": "f9d1e7da-a0dc-43aa-b2a4-1ac25479cedc"
    },
    {
      "x": 619,
      "y": 157,
      "width": 26,
      "height": 62,
      "confidence": 0.904,
      "class": "car",
      "class_id": 0,
      "detection_id": "fc881780-1082-44f4-88d4-acdc4b7688ff"
    },
    {
      "x": 757.5,
      "y": 61,
      "width": 29,
      "height": 58,
      "confidence": 0.904,
      "class": "car",
      "class_id": 0,
      "detection_id": "daa75c5b-7e4d-452d-9285-3a222c3a48e9"
    },
    {
      "x": 724.5,
      "y": 63.5,
      "width": 25,
      "height": 61,
      "confidence": 0.904,
      "class": "car",
      "class_id": 0,
      "detection_id": "4930a7e1-7dd0-4e8b-b0e7-7f17ea782bcc"
    },
    {
      "x": 799,
      "y": 376,
      "width": 36,
      "height": 70,
      "confidence": 0.901,
      "class": "car",
      "class_id": 0,
      "detection_id": "66616609-e776-4632-bf4d-da732df753d1"
    },
    {
      "x": 689,
      "y": 58.5,
      "width": 32,
      "height": 69,
      "confidence": 0.9,
      "class": "car",
      "class_id": 0,
      "detection_id": "de808914-ad53-4b74-9b12-19d74e360a8a"
    },
    {
      "x": 581.5,
      "y": 159,
      "width": 33,
      "height": 62,
      "confidence": 0.898,
      "class": "car",
      "class_id": 0,
      "detection_id": "8629c3ef-035b-45fb-a533-2b5827f8d109"
    },
    {
      "x": 651.5,
      "y": 154.5,
      "width": 29,
      "height": 59,
      "confidence": 0.896,
      "class": "car",
      "class_id": 0,
      "detection_id": "a94e2001-daf7-49c6-9540-7a7921f61b3d"
    },
    {
      "x": 438.5,
      "y": 81,
      "width": 27,
      "height": 60,
      "confidence": 0.892,
      "class": "car",
      "class_id": 0,
      "detection_id": "7a1dbda2-c49d-4f3d-a20e-af0eb6e34f3e"
    },
    {
      "x": 579.5,
      "y": 66,
      "width": 29,
      "height": 66,
      "confidence": 0.883,
      "class": "car",
      "class_id": 0,
      "detection_id": "a520fc9f-fc3f-468e-9fad-d4ce14976da8"
    },
    {
      "x": 833,
      "y": 148,
      "width": 30,
      "height": 58,
      "confidence": 0.863,
      "class": "car",
      "class_id": 0,
      "detection_id": "c6adb555-1f4f-4314-a23a-2d073662df7f"
    }
  ]
}

数据集-识别停车场>停车场停车位上是否有车的数据集

 平均正确识别率96.1%

数据集分割

一共1586张图片
训练组92% 1461图片           有效集8% 125图片                 测试集%   0图片

增强

每个训练示例的输出: 3
翻转: 水平、垂直
曝光度: -10% 至 +10% 之间
标签:occupied  empty

模型相关:

各个类型的精度

训练图:

数据集下载地址:

yolo v11:

yolo v9:

yolo v8:

yolo v7:

yolo v5:

coco json:

pasical voc xml:

darknet:

文章来源:https://blog.csdn.net/pbymw8iwm/article/details/146340812
本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:http://www.ppmy.cn/embedded/174348.html

相关文章

前端利用Turf.js实现对地图上的点聚合算法

Turf.js是一个用于空间分析的js库,经常作用在地图上。目前项目上有一个需求,是使用的高德地图Loca的ZMarkerLayer图层,这个图层没用聚合功能,并且在地图上绘制的点位非常多。 Turf.js官方文档 https://turfjs.org/docs/api/clus…

二、vtkCommand的使用

一、概述 vtkCommand是VTK中的一个重要的类,用于处理事件和回调机制。它允许用户在特定事件发生时执行自定义的操作,例如在交互操作、数据更新或渲染过程中触发某些功能。 二、主要功能 1、事件处理:vtkCommand用于监听和处理VTK管线中的各…

Android compose中的附带效应-人话

以下是这些 Compose API 的总结 API 名称作用典型使用场景注意事项LaunchedEffect在 Composable 中启动协程任务,协程生命周期与组件绑定。一次性异步操作(如网络请求、动画)、响应 key 变化重启任务。key 参数变化时会取消旧协程并启动新协…

Git——分布式版本控制工具使用教程

本文主要介绍两种版本控制工具——SVN和Git的概念,接着会讲到Git的安装,Git常用的命令,以及怎么在Vscode中使用Git。帮助新手小白快速上手Git。如果想直接上手用Vscode操作远程仓库则直接看7和9即可! 目录 1. SVN和Git介绍 1.1 …

第一节:关于数组的算法(python版)

目录 一、存储方式 二、二分查找 三:数组的算法操作:双指针算法 四、数组操作:滑动窗口 视频讲解地址:动态-哔哩哔哩 一、存储方式 在python中的list本质是动态数组,支持自动扩容。还有一个numpy数组,…

电脑如何录屏

以下是电脑录屏的常用方法总结,涵盖系统自带工具、第三方软件及进阶功能,结合不同场景需求推荐最佳方案: 一、系统自带工具 Xbox Game Bar(Windows 10/11) 操作步骤:按 WinG 打开游戏栏 → 点击录制按钮&am…

内网安全-横向移动Kerberos 攻击SPN 扫描WinRMWinRSRDP

1.WinRM&WinRS 条件: 双方开启winrm winrs服务 2008版本以上默认开启,win 7默认关闭 检测使用cs内置端口扫描5985开放情况 进行连接 winrs -r:http://192.168.93.30:5985 -u:administrator -p:Whoami2021 whoami 2.内网-spn shell setspn -T …

“消失的中断“

“消失的中断” 1. 前言 在嵌入式开发过程中,中断必不可少。道友们想必也经常因为中断问题头疼不已,今天来说说一个很常见的问题,“消失的中断”。最近项目在使用第三方MCAL的时候,就遇到了I2C中断丢失的问题,排查起…