TRODO: a public vehicle odometers dataset for computer vision

The TRODO dataset is a collection of annotated odometer images from several vehicles operating in a real-world product delivery network. The dataset contains a total number of 2,389 raw images with proper annotations. Furthermore, TRODO also includes the ground truth information of odometer types and mileages of vehicles. In the fields of insurance and logistics, the TRODO dataset can be utilized to build smart vision systems for mileage reading from odometer images. It is also possible to extend the application areas of the dataset by transfer learning. Researchers can use the dataset to train, validate, and test novel or existing supervised learning approaches.TRODO数据集是面向真实产品配送网络中多台运营车辆采集的带标注里程表（odometer）图像集合。该数据集共包含2389张经规范标注的原始图像。此外，TRODO数据集还涵盖了车辆里程表类型与行驶里程的真实标注（ground truth）信息。在保险与物流领域，TRODO数据集可用于构建基于里程表图像的智能视觉里程读取系统。通过迁移学习，还可进一步拓展该数据集的应用场景。研究人员可依托该数据集训练、验证与测试新颖或已有的监督学习方法。

搜集汇总

背景与挑战

背景概述

TRODO数据集是一个公开的车辆里程表图像数据集，包含2,389张带有标注的原始图像，并提供里程表类型和里程数的真实信息。该数据集专为计算机视觉应用设计，适用于保险和物流领域的智能里程读取系统开发，支持监督学习和迁移学习研究。