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--- |
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language: |
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- en |
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license: cc-by-sa-4.0 |
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tags: |
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- biology |
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- marine |
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- multi-object-tracking |
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- video |
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- underwater |
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annotations_creators: |
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- expert-generated |
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pretty_name: DeepSea MOT |
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size_categories: |
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- n<1K |
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- 1K<n<10K |
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- 10K<n<100K |
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task_categories: |
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- object-detection |
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--- |
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# DeepSea MOT |
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**DeepSea MOT** is a benchmark dataset for multi-object tracking on deep-sea video. |
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## Dataset Description |
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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)](https://www.mbari.org/) using remotely operated vehicles (ROVs) [*Doc Ricketts*](https://www.mbari.org/technology/rov-doc-ricketts/) and [*Ventana*](https://www.mbari.org/technology/rov-ventana/) in deep-sea environments, showcasing a variety of marine species and underwater scenes. |
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**[2025-12-08] New 4K Sequences:** In addition to the original sequences, DeepSea MOT now includes two new 4K resolution sequences (Benthic Simple and Midwater Simple) to facilitate research on high-resolution underwater video analysis. |
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- **Paper:** https://arxiv.org/abs/2509.03499 |
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- **Workflow:** https://docs.mbari.org/benchmark_eval/ |
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## File Structure |
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The dataset is organized as follows: |
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``` |
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data/ |
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├── vidseq_names.txt # TrackEval sequence names file |
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├── BD/ # Benthic Difficult sequence |
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│ ├── BD.mov # Source video file |
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│ ├── gt.txt # MOT Challenge format ground truth |
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│ ├── seqinfo.ini # TrackEval sequence information |
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│ ├── images/ # Frame images (JPG format) |
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│ │ ├── BD_001.jpg |
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│ │ ├── BD_002.jpg |
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│ │ └── ... |
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│ ├── labels/ # YOLO-formatted annotation files (TXT) |
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│ └── xml/ # Pascal VOC annotation files (from RectLabel) |
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├── BS/ # Benthic Simple sequence |
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│ ├── BS.mov |
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│ ├── gt.txt |
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│ ├── seqinfo.ini |
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│ ├── images/ |
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│ ├── labels/ |
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│ └── xml/ |
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├── MWD/ # Midwater Difficult sequence |
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│ ├── MWD.mov |
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│ ├── gt.txt |
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│ ├── seqinfo.ini |
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│ ├── images/ |
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│ ├── labels/ |
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│ └── xml/ |
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├── MWS/ # Midwater Simple sequence |
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| ├── MWS.mov |
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| ├── gt.txt |
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| ├── seqinfo.ini |
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| ├── images/ |
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| ├── labels/ |
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| └── xml/ |
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├── BS_4K/ # 4K Benthic Simple sequence |
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│ ├── BS_4K.mov |
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│ ├── gt.txt |
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│ ├── seqinfo.ini |
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│ ├── images/ |
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│ ├── labels/ |
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│ └── xml/ |
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└── MWS_4K/ # 4K Midwater Simple sequence |
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├── MWS_4K.mov |
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├── gt.txt |
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├── seqinfo.ini |
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├── images/ |
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├── labels/ |
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└── xml/ |
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``` |
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Each sequence directory contains: |
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- **Source video** (`.mov`): Original ROV footage |
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- **Ground truth** (`gt.txt`): MOT Challenge format annotations for tracking evaluation |
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- **Sequence info** (`seqinfo.ini`): Metadata file for TrackEval compatibility |
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- **Images** (`images/`): Individual frame extractions in JPG format |
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- **YOLO labels** (`labels/`): Object detection annotations in YOLO format (TXT files) |
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- **Pascal VOC** (`xml/`): Object detection annotations in Pascal VOC format (generated via [RectLabel](https://rectlabel.com/)) |
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## Additional Information |
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### Dataset Curators |
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Authors of [[1]](https://arxiv.org/abs/2509.03499): |
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- Kevin Barnard |
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- Elaine Liu |
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- Kristine Walz |
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- Brian Schlining |
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- Nancy Jacobsen Stout |
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- Lonny Lundsten |
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### Citation Information |
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```bibtex |
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@article{barnard2025deepseamot, |
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author = {Barnard, Kevin and Liu, Elaine and Walz, Kristine and Schlining, Brian and Stout, Nancy Jacobsen and Lundsten, Lonny}, |
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title = { {DeepSea MOT}: A benchmark dataset for multi-object tracking on deep-sea video}, |
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year = {2025}, |
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journal = {arXiv preprint arXiv:2509.03499}, |
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doi = {10.48550/arXiv.2509.03499}, |
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} |
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``` |
