车辆高质量(货车类型）数据集

本数据集是面向多式联运全链条业务场景构建的高质量货车图像分类数据集，聚焦道路运输领域常见货车类型的精细化识别。数据集通过车联网终端、路侧监控、场站卡口等多源渠道进行合规采集，完成严格的图像清洗、目标检测框选、车型标签标注及多轮人工质检，确保数据标签的准确性与一致性。图像覆盖不同光照条件、天气环境、拍摄角度与遮挡程度，具备高度的场景多样性和真实分布特性。数据集以图像分类数据为主体，包含高分辨率货车图像及对应的车型细粒度标签，涵盖厢式货车、平板货车、罐式货车（油罐车/粉罐车）、集装箱运输车、冷藏车、自卸车、特种结构货车等主流货车类型。未来将持续扩充样本规模，同步引入多角度图像、短时序图像序列等多模态补充数据，显著提升多模态数据占比。

This high-quality freight vehicle image classification dataset is constructed for full-chain business scenarios of multimodal transportation, focusing on fine-grained recognition of common freight vehicle types in the road transport field. The dataset is collected compliantly via multi-source channels including Internet of Vehicles (IoV) terminals, roadside surveillance monitors, and station checkpoints, and has undergone strict processes such as image cleaning, bounding box annotation for object detection, vehicle type label tagging, and multiple rounds of manual quality inspection to ensure the accuracy and consistency of data labels. The included images cover diverse lighting conditions, weather environments, shooting angles, and occlusion levels, boasting high scene diversity and realistic distribution characteristics. The dataset primarily consists of image classification data, featuring high-resolution freight vehicle images and corresponding fine-grained vehicle type labels, covering mainstream freight vehicle categories such as box trucks, flatbed trucks, tanker trucks (oil tankers / powder tankers), container trucks, refrigerated trucks, dump trucks, and special-structured freight vehicles. In the future, the sample scale will be continuously expanded, and multi-modal supplementary data including multi-angle images and short-term image sequences will be introduced simultaneously, significantly increasing the proportion of multi-modal data.

搜集汇总

背景与挑战

背景概述

该数据集是一个面向多式联运业务场景的高质量货车图像分类数据集，专注于道路运输领域常见货车类型的精细化识别。数据通过车联网终端、路侧监控等多源渠道合规采集，并经过严格清洗、标注和人工质检，确保标签准确一致，图像覆盖多样光照、天气和角度，具备高度场景真实性。数据集包含高分辨率货车图像及细粒度标签，涵盖厢式货车、平板货车、罐式货车等多种主流类型，适用于货运车辆自动识别、智能监管等应用场景。