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

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:

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