Vehicle Type Image Dataset (Version 2): VTID2

After creating VTID, the researchers decided to extend the collection process to create another larger dataset to add further diversity to the dataset in order to avoid data overfitting. Finally, the new dataset, called "Vehicle Type Image Dataset 2 (VTID2)", consisted of 4,356 image samples that could be separated into five vehicle type classes as follows: 1,230 sedans, 1,240 pick-ups, 680 SUVs, 606 hatchbacks, and 600 other vehicle images.研究人员在完成VTID（Vehicle Type Image Dataset，车辆类型图像数据集）的构建后，为进一步丰富数据集的多样性以避免数据过拟合，决定拓展数据采集流程，打造另一组规模更大的数据集。最终，这款新数据集被命名为车辆类型图像数据集2（Vehicle Type Image Dataset 2，简称VTID2），共包含4356张图像样本，可划分为以下5类车辆类型：1230辆轿车、1240辆皮卡、680辆SUV、606辆掀背车，以及600张其他车辆图像。