five

MVTD

收藏
DataCite Commons2025-06-02 更新2025-09-08 收录
下载链接:
https://figshare.com/articles/dataset/MVTD/29177147/1
下载链接
链接失效反馈
官方服务:
资源简介:
Tracking objects in maritime environments remains a challenging task due to dynamic water surfaces, occlusions, reflections, and camera-induced motion blur. To advance research in this domain, we introduce MVTD (Maritime Visual Tracking Dataset), a comprehensive benchmark comprising 182 sequences and over 150,000 frames, each annotated with precise bounding boxes. The dataset captures a wide variety of real-world maritime conditions and includes annotations for 9 critical attributes, such as occlusion, low resolution, background clutter, and motion blur, enabling fine-grained performance analysis. Additionally, MVTD includes four object types commonly encountered in maritime surveillance scenarios. To evaluate current capabilities, we benchmark 14 SOTA trackers on MVTD, revealing notable performance limitations and motivating the development of domain specific tracking solutions for maritime environments.
提供机构:
figshare
创建时间:
2025-06-02
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
MVTD(Maritime Visual Tracking Dataset)是一个专门用于海上视觉目标跟踪的综合数据集,包含182个序列和超过150,000帧图像,每帧都带有精确边界框标注,并覆盖多种真实海上条件和9个关键属性,以支持细粒度分析。该数据集还包括四种常见海上目标类型,并通过基准测试14种最先进跟踪器,揭示了当前技术在海上环境中的性能限制,旨在推动领域特定跟踪解决方案的发展。
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作