<?xml version="1.0" encoding="utf-8"?>
<annotation>
<folder>driving_annotation_dataset</folder>
<filename>car_detect_1792.jpg</filename>
<size>
<width>1256</width>
<height>810</height>
<depth>3</depth>
</size>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>822</xmin>
<ymin>287</ymin>
<xmax>919</xmax>
<ymax>387</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>1202</xmin>
<ymin>272</ymin>
<xmax>1255</xmax>
<ymax>458</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>1</xmin>
<ymin>315</ymin>
<xmax>94</xmax>
<ymax>475</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>346</xmin>
<ymin>299</ymin>
<xmax>418</xmax>
<ymax>339</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>1084</xmin>
<ymin>247</ymin>
<xmax>1254</xmax>
<ymax>448</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>340</xmin>
<ymin>307</ymin>
<xmax>419</xmax>
<ymax>384</ymax>
</bndbox>
</object>
<object>
<name>truck</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>968</xmin>
<ymin>258</ymin>
<xmax>1132</xmax>
<ymax>430</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>974</xmin>
<ymin>260</ymin>
<xmax>1136</xmax>
<ymax>431</ymax>
</bndbox>
</object>
<object>
<name>truck</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>1209</xmin>
<ymin>273</ymin>
<xmax>1256</xmax>
<ymax>461</ymax>
</bndbox>
</object>
<object>
<name>truck</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>1085</xmin>
<ymin>244</ymin>
<xmax>1257</xmax>
<ymax>450</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>880</xmin>
<ymin>282</ymin>
<xmax>1009</xmax>
<ymax>406</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>261</xmin>
<ymin>309</ymin>
<xmax>338</xmax>
<ymax>400</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>288</xmin>
<ymin>310</ymin>
<xmax>373</xmax>
<ymax>388</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>164</xmin>
<ymin>302</ymin>
<xmax>286</xmax>
<ymax>421</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>72</xmin>
<ymin>298</ymin>
<xmax>241</xmax>
<ymax>435</ymax>
</bndbox>
</object>
<object>
<name>car</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>3</xmin>
<ymin>295</ymin>
<xmax>165</xmax>
<ymax>453</ymax>
</bndbox>
</object>
<object>
<name>truck</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>392</xmin>
<ymin>214</ymin>
<xmax>862</xmax>
<ymax>745</ymax>
</bndbox>
</object>
</annotation>
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温馨提示
YOLO车辆检测三类别数据集,车辆数据集,用于车辆检测, 标签类型为VOC格式和YOLO格式两种,类别名为car、bus、truck三类,每张图包含多个类别,图片中目标清晰,数量为1793张。
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YOLO车辆检测三类别数据集 1793张(car-detect-dataset三种类型) (5380个子文件)
car_detect_142.jpg 6.37MB
car_detect_165.jpg 4.75MB
car_detect_1097.jpg 4.5MB
car_detect_1094.jpg 4.34MB
car_detect_177.jpg 4.09MB
car_detect_1624.jpg 3.89MB
car_detect_1549.jpg 3.89MB
car_detect_1039.jpg 3.88MB
car_detect_770.jpg 3.8MB
car_detect_1760.jpg 3.78MB
car_detect_1558.jpg 3.78MB
car_detect_173.jpg 3.75MB
car_detect_1707.jpg 3.7MB
car_detect_1511.jpg 3.7MB
car_detect_1105.jpg 3.69MB
car_detect_98.jpg 3.65MB
car_detect_47.jpg 3.58MB
car_detect_1129.jpg 3.58MB
car_detect_90.jpg 3.56MB
car_detect_1085.jpg 3.55MB
car_detect_1067.jpg 3.54MB
car_detect_1026.jpg 3.5MB
car_detect_164.jpg 3.49MB
car_detect_1152.jpg 3.47MB
car_detect_97.jpg 3.47MB
car_detect_1151.jpg 3.37MB
car_detect_862.jpg 3.33MB
car_detect_1023.jpg 3.28MB
car_detect_1749.jpg 3.21MB
car_detect_1516.jpg 3.21MB
car_detect_1127.jpg 3.18MB
car_detect_813.jpg 3.18MB
car_detect_48.jpg 3.16MB
car_detect_1599.jpg 3.15MB
car_detect_1543.jpg 3.15MB
car_detect_1697.jpg 3.14MB
car_detect_1509.jpg 3.14MB
car_detect_124.jpg 3.12MB
car_detect_139.jpg 3.11MB
car_detect_805.jpg 3.1MB
car_detect_1034.jpg 3.09MB
car_detect_162.jpg 3.06MB
car_detect_133.jpg 3.03MB
car_detect_869.jpg 3.01MB
car_detect_1143.jpg 2.94MB
car_detect_1114.jpg 2.89MB
car_detect_1024.jpg 2.86MB
car_detect_779.jpg 2.85MB
car_detect_1066.jpg 2.71MB
car_detect_760.jpg 2.65MB
car_detect_1383.jpg 2.59MB
car_detect_680.jpg 2.53MB
car_detect_1101.jpg 2.46MB
car_detect_128.jpg 2.43MB
car_detect_1100.jpg 2.4MB
car_detect_1534.jpg 2.36MB
car_detect_1728.jpg 2.36MB
car_detect_254.jpg 2.2MB
car_detect_829.jpg 2.13MB
car_detect_180.jpg 2.07MB
car_detect_303.jpg 1.94MB
car_detect_247.jpg 1.84MB
car_detect_150.jpg 1.83MB
car_detect_465.jpg 1.76MB
car_detect_852.jpg 1.74MB
car_detect_210.jpg 1.72MB
car_detect_274.jpg 1.6MB
car_detect_244.jpg 1.56MB
car_detect_338.jpg 1.54MB
car_detect_1734.jpg 1.52MB
car_detect_1514.jpg 1.52MB
car_detect_402.jpg 1.49MB
car_detect_230.jpg 1.44MB
car_detect_342.jpg 1.43MB
car_detect_186.jpg 1.39MB
car_detect_204.jpg 1.35MB
car_detect_514.jpg 1.33MB
car_detect_699.jpg 1.21MB
car_detect_307.jpg 1.2MB
car_detect_437.jpg 1.19MB
car_detect_237.jpg 1.13MB
car_detect_324.jpg 1.13MB
car_detect_296.jpg 1.13MB
car_detect_412.jpg 1.13MB
car_detect_1744.jpg 1.08MB
car_detect_1458.jpg 1.08MB
car_detect_866.jpg 1.07MB
car_detect_432.jpg 1.06MB
car_detect_273.jpg 1.06MB
car_detect_203.jpg 1MB
car_detect_386.jpg 1000KB
car_detect_890.jpg 995KB
car_detect_96.jpg 972KB
car_detect_415.jpg 959KB
car_detect_1397.jpg 939KB
car_detect_1527.jpg 933KB
car_detect_1627.jpg 933KB
car_detect_1661.jpg 931KB
car_detect_1484.jpg 931KB
car_detect_786.jpg 904KB
共 5380 条
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- xushaohui0982024-03-11资源和描述一致,质量不错,解决了我的问题,感谢资源主。
- 敢于亮剑2024-03-27这个资源内容超赞,对我来说很有价值,很实用,感谢大佬分享~
- Issacaimar2024-03-16资源很赞,希望多一些这类资源。
- hjysly2024-03-28实在是宝藏资源、宝藏分享者!感谢大佬~
- 2301_797520592024-04-23这个资源对我启发很大,受益匪浅,学到了很多,谢谢分享~
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