Vehicle target detection dataset

Citation Author(s):
Xue
Xing
Jilin Institute of Chemical Technology
Bin
Wang
Submitted by:
Xue Xing
Last updated:
Mon, 02/19/2024 - 03:37
DOI:
10.21227/8c0a-t470
License:
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Abstract 

The public UA-DETRAC data set was used to train the vehicle target detection model in this study. This data set was captured predominantly in the Beijing-Tianjin-Hebei area. Using a Canon EOS 550 camera, 10 hours of video were captured at 25 frames per second, and then the footage was processed. Each frame had a resolution of 960*540 pixels. The UA-DETRAC data set contained 8,259 manually labeled vehicles, with a total of 1,210,000 labeled vehicles. The labeled types included cars, buses, trucks, etc. The data set used contains a total of 140,131 images, of which 70% of the data set is used for training, 15% is used for validation, and 15% is used for testing.

Instructions: 

UA-DETRAC数据集包含8,259辆手动标记的车辆,总共1,210,000辆标记车辆。标记的类型包括轿车、公共汽车、卡车等。使用的数据集总共包含140,131张图像,其中70%的数据集用于训练,15%用于验证,15%用于测试。

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Submitted by Aayush Thapa on Mon, 02/26/2024 - 21:46