Datasets:

MBARI-org
/

DeepSea-MOT

language:
  - en
license: mit
tags:
  - biology
  - marine
  - multi-object-tracking
  - video
  - underwater
annotations_creators:
  - expert-generated
pretty_name: DeepSea MOT
size_categories:
  - n<1K
task_categories:
  - object-detection

Dataset Card for DeepSea MOT

DeepSea MOT is a benchmark dataset for multi-object tracking on deep-sea video.

Dataset Description

DeepSea MOT consists of 4 video sequences (2 midwater, 2 benthic) with a total of 2,400 frames and 57,376 annotated objects comprising 188 tracks. The videos were captured by the Monterey Bay Aquarium Research Institute (MBARI) using remotely operated vehicles (ROVs) Doc Ricketts and Ventana in deep-sea environments, showcasing a variety of marine species and underwater scenes.

Paper: https://arxiv.org/abs/TBD

Additional Information

Dataset Curators

Authors of [1]:

Kevin Barnard
Elaine Liu
Kristine Walz
Brian Schlining
Nancy Jacobsen Stout
Lonny Lundsten

Citation Information

@article{barnard2025deepseamot,
    author = {Barnard, Kevin and Liu, Elaine and Walz, Kristine and Schlining, Brian and Stout, Nancy Jacobsen and Lundsten, Lonny},
    title = { {DeepSea MOT}: A benchmark dataset for multi-object tracking on deep-sea video},
    year = {2025},
    journal = {arXiv preprint arXiv:2501.XXXXX},
    doi = {10.48550/arXiv.2501.XXXXX},
}