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.

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。