Truck Image Dataset

Collection of truck images, from a side point view, used to extract information about truck axles, collected on a highway in the State of São Paulo, Brazil. This is still a work in progress dataset and will be updated regularly, as new images are acquired. More info can be found on: Researchgate Lab Page, OrcID Profiles, or ITS Lab page on Github. The dataset includes 725 cropped images of trucks, taken with three different cameras, on five different locations. 725 images Format: JPG Resolution: 1920xVarious, 96dpi, 24bits Naming pattern: &lt;video_name&gt;_&lt;color|gray&gt;-&lt;Region_of_Interest_ID&gt;-&lt;truck_ID&gt;.jpg If this dataset helps in any way your research, please feel free to contact the authors. We really enjoy knowing about other researcher's projects and how everybody is making use of the images on this dataset. We are also open for collaborations and to answer any questions. We also have a paper that uses this dataset, so if you want to officially cite us in your research, please do so! We appreciate it! Marcomini, Leandro Arab, and André Luiz Cunha. "Truck Axle Detection with Convolutional Neural Networks." <em>arXiv preprint arXiv:2204.01868</em> (2022).本数据集为采集自巴西圣保罗州高速公路的侧视角卡车图像集，用于提取卡车车轴相关信息。本数据集仍处于开发阶段，将随新图像的获取定期更新。更多相关信息可查阅Researchgate实验室页面、ORCID个人主页，以及GitHub上的ITS实验室页面。本数据集包含725张裁剪后的卡车图像，由三台不同摄像机在五个不同采集点位拍摄。725张图像，格式为JPG，分辨率为1920×可变，96dpi，位深度24位。图像命名规则为：<video_name>_<color|gray>-<Region_of_Interest_ID>-<truck_ID>.jpg。若本数据集对您的研究有所助益，敬请联系作者团队。我们十分乐意了解各位研究者的项目进展，以及该数据集图像的实际使用场景，同时也欢迎合作洽谈与相关疑问的解答。本数据集已有配套研究论文，若您需在研究中正式引用本数据集，请参考以下文献：Marcomini, Leandro Arab, and André Luiz Cunha. "基于卷积神经网络的卡车车轴检测." arXiv预印本arXiv:2204.01868 (2022).