Marine surface

MassMIND

Maritime scene segmentation

2,916 labeled LWIR images from R/V Philos around Massachusetts Bay, with seven classes for maritime scene understanding.

Metadata: Partial Metadata needs review

Quick facts

Vehicle type
Marine surface
Environment
Outdoor
Data origin
Real-world
Sensor count
1
Ground truth
Not reported
Calibration
Not reported
Annotations
Available

Sensor overview

High-level sensor availability before the detailed sensor records below.

Ground truth

Reference scope, method, rate, coverage, and provenance.

Not reported

Calibration and synchronization

Reported calibration level, reproducibility signals, and supporting notes.

Level
Not reported
Processed parameters
Not reported
Raw calibration data
Not reported
Calibration targets
Not reported

Calibration data

Calibration reproducibility details are not reported.

Notes

Not reported

Known or intentional limitations

Reported constraints and characteristics to check before using the dataset.

Bridge/background label boundaries are subjective.

Small distant people may be merged into the boat obstacle label.

Regional coverage omits some vessel types and worldwide marker diversity.

Strong pixel imbalance: sky and water dominate; living obstacles are very small.

Cameras

lwir

Model
FLIR ADK
Setup
Not Reported
Count
1
Effective cameras
1
Modality
Thermal
Resolution
640 x 512
Rate
Not reported
Shutter
Not Reported
Lens type
Not Reported
HFOV
Not reported
VFOV
Not reported
Notes
Selected LWIR still images from two capture eras. Released images and masks are 640×512 per the official repository. The 2019 native height differs between prose (240) and Table 1 (256); newer hardware is 640×512. The mounted two-camera count does not establish released per-camera coverage. Table 1 lists device rate options, not the release cadence.

IMUs

Not reported

GNSS

Not reported

LiDAR

Not reported

Radar

Not reported

Pitot tube

Not reported

Additional sensors

Not reported

Annotations

Reported annotation availability and task support.

Availability
Available
Format
Not reported
Class count
7
Semantic segmentation Available
Instance segmentation Available
Object detection Not reported
Optical flow Not reported
Depth ground truth Not reported

Citation

Citation key and BibTeX kept at the end of the page for reference.

Citation key
nirgudkar2022massmind

BibTeX

@misc{nirgudkar2022massmind,
  title={MassMIND: Massachusetts Maritime INfrared Dataset},
  author={Nirgudkar, Shailesh and DeFilippo, Michael and Sacarny, Michael and Benjamin, Michael and Robinette, Paul},
  year={2022},
  eprint={2209.04097},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

Dataset corrections

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