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Maritime Visual Tracking Dataset Mvtd dataset by hrz2001
⭐ 59.7
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Dataset

Maritime Visual Tracking Dataset Mvtd

by hrz2001 hrz2001/maritime_visual_tracking_dataset_mvtd
Free2AITools Nexus Index
59.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 62
P: Popularity 55
R: Recency 88
Q: Quality 50
Tech Context
Vital Performance —
Source β†’
Data Integrity 59.7 FNI Score
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Dataset Information Summary
Entity Passport
Registry ID hrz2001/maritime_visual_tracking_dataset_mvtd
License CC0-1.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_hrz2001_maritime_visual_tracking_dataset_mvtd,
  author = {hrz2001},
  title = {Maritime Visual Tracking Dataset Mvtd Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/hrz2001/Maritime_Visual_Tracking_Dataset_MVTD}},
  note = {Accessed via Free2AITools.}
}
APA Style
hrz2001. (2026). Maritime Visual Tracking Dataset Mvtd [Dataset]. Free2AITools. https://huggingface.co/datasets/hrz2001/Maritime_Visual_Tracking_Dataset_MVTD

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Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 62
Popularity (P) 55
Recency (R) 88
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Maritime Visual Tracking Dataset Mvtd: Authority (A:62), Popularity (P:55), Recency (R:88), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

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Dataset Specification

MVTD: Maritime Visual Tracking Dataset

Overview

MVTD (Maritime Visual Tracking Dataset) is a large-scale benchmark dataset designed specifically for single-object visual tracking (VOT) in maritime environments.
It addresses challenges unique to maritime scenes: such as water reflections, low-contrast objects, dynamic backgrounds, scale variation, and severe illumination changesβ€”which are not adequately covered by generic tracking datasets.

The dataset contains 182 annotated video sequences with approximately 150,000 frames, spanning four maritime object categories:

  • Boat
  • Ship
  • Sailboat
  • Unmanned Surface Vehicle (USV)

MVTD is suitable for training, fine-tuning, and benchmarking visual object tracking algorithms under realistic maritime conditions.

Dataset Statistics

  • Total sequences: 182
  • Total annotated frames: 150,058
  • Frame rate: 30 FPS and 60 FPS
  • Resolution range:
    • Min: 1024 Γ— 1024
    • Max: 1920 Γ— 1440
  • Average sequence length: ~824 frames
  • Sequence length range: 82 – 4747 frames
  • Object categories: 4

Dataset Structure

The dataset follows the GOT-10k single-object tracking format, enabling easy integration with existing tracking pipelines.

text 
MVTD/
β”œβ”€β”€ train/
β”‚   β”œβ”€β”€ video1/
β”‚   β”‚   β”œβ”€β”€ frame0001.jpg
β”‚   β”‚   β”œβ”€β”€ frame0002.jpg
β”‚   β”‚   β”œβ”€β”€ ...
β”‚   β”‚   β”œβ”€β”€ groundtruth.txt
β”‚   β”‚   β”œβ”€β”€ absence.label
β”‚   β”‚   β”œβ”€β”€ cut_by_image.label
β”‚   β”‚   └── cover.label
β”‚   β”œβ”€β”€ video2/
β”‚   β”‚   β”œβ”€β”€ frame0001.jpg
β”‚   β”‚   β”œβ”€β”€ frame0002.jpg
β”‚   β”‚   β”œβ”€β”€ ...
β”‚   β”‚   β”œβ”€β”€ groundtruth.txt
β”‚   β”‚   β”œβ”€β”€ absence.label
β”‚   β”‚   β”œβ”€β”€ cut_by_image.label
β”‚   β”‚   └── cover.label
β”‚   └── ...
└── test/
    β”œβ”€β”€ video1/
    β”‚   β”œβ”€β”€ frame0001.jpg
    β”‚   β”œβ”€β”€ frame0002.jpg
    β”‚   β”œβ”€β”€ ...
    β”‚   └── groundtruth.txt
    β”œβ”€β”€ video2/
    β”‚   β”œβ”€β”€ frame0001.jpg
    β”‚   β”œ

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Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--hrz2001--maritime_visual_tracking_dataset_mvtd
slug
hrz2001--maritime_visual_tracking_dataset_mvtd
source
huggingface
author
hrz2001
license
CC0-1.0
tags
license:cc0-1.0, size_categories:100k<n<1m, arxiv:2506.02866, region:us

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
64,429
stars
null
forks
null

Data indexed from public sources. Updated daily.