Vehicle Type Image Dataset (Version 1): VTID1

The main objective for the use of an image dataset was to examine the five vehicle types of motor vehicles that were the most commonly used ones in Thailand (sedan, hatchback, pick-up, SUV, and van). The recording devices to collect the images were part of a video surveillance system located at Loei Rajabhat University in Loei province, Thailand. The collection process took place during the daytime for four weeks between July and December 2018. Two cameras were installed at the front gate of the university. However, a small number of van images was produced in the dataset compared to the number of images of the other four vehicle types. Because of this, the researchers decided to add other vehicle-type images such as those of motorcycles into the van group and changed the name of the group to "other vehicles" to increase diversity. Finally, the first dataset called "Vehicle Type Image Dataset (VTID)" had a total of 1,410 images that could be separated into vehicle types as follows; 400 sedans, 478 pick-ups, 129 SUVs, 181 hatchbacks, and 122 other vehicle images. Each image was collected using the 224x224 pixel resolution.

本研究旨在通过运用图像数据集，审视在泰国最为普遍使用的五种机动车类型（轿车、掀背车、皮卡、SUV和货车）。用于采集图像的记录设备构成了位于泰国洛埃伊拉贾巴特大学洛埃伊省的视频监控系统的一部分。数据采集过程于2018年7月至12月间的白天进行，持续四周。在大学的前门安装了两台摄像头。然而，与其它四种车型相比，数据集中货车的图像数量较少。鉴于此，研究人员决定将其他车型图像，如摩托车图像，纳入货车组别，并将该组别名称更改为“其他车辆”以增加多样性。最终，首个名为“车辆类型图像数据集（VTID）”的数据库共包含1,410张图像，这些图像可按车型分类，具体如下：轿车400辆，皮卡478辆，SUV 129辆，掀背车181辆，以及其他车辆122张。每张图像均采用224x224像素的分辨率进行采集。