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Home/Tacking/Open Sea Vessel Navigation Video Detection Dataset

Open Sea Vessel Navigation Video Detection Dataset

#target detection #video analysis #trajectory tracking #behavior recognition #maritime transportation #logistics monitoring #vessel detection #intelligent transportation

Records: 500 records
Size: 1.4G
Format: MP4
Provider: MOBIUSI INC
Updated: v1.02026-11-04

AI Analysis & Value Prop

The dataset is collected using high-definition camera equipment from multiple angles under different weather conditions to ensure broad scene coverage and data diversity. Data processing steps include denoising, image enhancement, and frame selection, and finally stored in MP4 format. The annotation work is carried out by a professional team with a maritime background, with a multi-round review mechanism ensuring high precision and reliability of the data annotation. The dataset excels in annotation accuracy and inter-frame consistency, innovatively introducing adaptive denoising algorithms and dynamic background modeling technology. The dataset addresses the shortcomings of similar datasets in weather adaptability and environmental diversity, providing significant advantages in improving vessel recognition accuracy, particularly suitable for target detection tasks in complex marine environments.

Overview

Dataset Insights

Preview

Sample Examples

5235c02a**.mp4|720*1280|5.26 MB

Schema

Technical Specifications

Field	Type	Description
file_name	string	File name
duration	string	Duration
quality	string	Resolution
detected_ship_type	string	The type of ships detected in the video, such as cargo ships, yachts, etc.
ship_count	int	The total number of ships appearing in the video.
sea_condition	string	The condition of the sea surface in the video, such as calm or wavy.
weather_condition	string	The weather conditions during the video recording, such as sunny or rainy.
visibility	string	The visibility of the ocean scene depicted in the video, such as clear or blurred.
day_or_night	string	Whether the video was recorded during daytime or nighttime.
ship_speed	float	The speed of the ships traveling in the video, measured in knots.
ship_direction	string	The direction of ship travel in the video, such as north, south, east, or west.
operation_type	string	The type of operations being conducted by the ships in the video, such as transporting or docking.

Trust

Compliance Statement

Authorization Type

Proprietary - Commercial AI Training License (No Redistribution)

Commercial Use

Requires exclusive subscription or authorization contract (monthly or per-invocation charging)

Privacy and Anonymization

No PII, no real company names, simulated scenarios follow industry standards

Compliance System

Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

FAQ

Frequently Asked Questions

What is the main purpose of the Offshore Ship Navigation Video Detection Dataset?: The dataset is mainly used to improve the efficiency of maritime transport in the courier and logistics industry by analyzing videos of navigating ships to optimize routes and transportation arrangements.

What specific scenarios is this dataset suitable for?: The dataset is suitable for scenarios requiring monitoring and analyzing videos of ships navigating at sea, particularly for route optimization and transport planning in the courier and logistics industry.

What benefits can be gained from using this dataset?: Using this dataset can improve the efficiency and safety of maritime transport, reduce logistics costs, and improve the timeliness of delivery and distribution.

What type of data does the Offshore Ship Navigation Video Detection Dataset contain?: The dataset contains video data of ships navigating at sea, which can be used to detect and analyze the activity paths and navigation conditions of the ships.

How can the Offshore Ship Navigation Video Detection Dataset be used to improve existing logistics systems?: By analyzing the shipping videos in the dataset, it is possible to identify and predict potential issues in ocean navigation, thereby optimizing routes and transportation arrangements in logistics systems for more efficient material transport.

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Cite this Work

@dataset{Mobiusi2026,
  title={Open Sea Vessel Navigation Video Detection Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/5f178b3d61904d3e70d44bf2457bf99d?dataset_task_cate_id=4},
  urldate={2026-02-04},
  keywords={open sea vessel detection, maritime video analysis, logistics monitoring dataset, intelligent transportation data},
  version={1.0}
}

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