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Data checked 2026-08-13. Data may be stale - beyond the review cycle. Review cycles are documented on the Methodology page. Methodology

dronefreak/SeaDronesSee

Dataset Tier A perception_ai cc0-1.0
Official confirmed

SeaDronesSee: Maritime UAV Object Detection Dataset Unofficial redistribution of the SeaDronesSee object-detection (v2) dataset, reformatted into a standardized YOLO-compatible directory layout. Disclaimer This repository is not an official release of the SeaDronesSee dataset. SeaDronesSee was created by Leon Amadeus Varga, Benjamin Kiefer, Martin Messmer, and Andreas Zell at the University of Tüb

Engineering Snapshot

Use cases & tasks 4
Best suited for
  • Engineers training maritime object detectors for UAV platforms
  • Researchers benchmarking detectors on water/boat/person classes
Primary tasks
  • Training YOLO-format object detectors for maritime UAV imagery
  • Evaluating detection performance on sea-surface targets
Stack & ecosystem
Resource type
Dataset
Ecosystem
perception_ai · object-detection · maritime · uav · drone · search-and-rescue
License & compliance
License
cc0-1.0 (Inferred)
Lifecycle & freshness Show
Maintenance
Active
Latest version
Not recorded
Last activity
2026-08-11
Last checked
2026-08-13
Verification
Official confirmed

What It Solves

Maritime search-and-rescue and surveillance UAVs need labeled object-detection data captured from an aerial perspective over water.

Primary use cases

  • Training YOLO-format object detectors for maritime UAV imagery
  • Evaluating detection performance on sea-surface targets

Secondary use cases

  • Transfer learning for coastal/waterway monitoring
  • Synthetic data augmentation studies

When to Use

Consider when

  • CC0 license required for commercial use
  • YOLO-ready directory layout preferred
  • Maritime domain (not general aerial) needed

Verify before adopting

  • Confirm this unofficial redistribution matches official SeaDronesSee v2 splits and annotations
  • Validate class distribution and label quality
  • Check for missing train/val/test splits

Start Here

dataset https://huggingface.co/datasets/dronefreak/SeaDronesSee paper https://arxiv.org/abs/2105.01922

Adoption Checklist

  • Needs verification Confirm this unofficial redistribution matches official SeaDronesSee v2 splits and annotations
  • Needs verification Validate class distribution and label quality
  • Needs verification Check for missing train/val/test splits

Each check stays "needs verification" until an official source confirms it; unconfirmed items are never marked verified.

Known Limitations & Unknowns

Known limitations

  • Unofficial redistribution — not the original release
  • Size category only (10K–100K images), exact count unknown
  • No guarantee of official train/val/test splits

Not publicly verified

  • Exact image/annotation counts
  • Class breakdown
  • Sensor/platform metadata
  • Official benchmark metrics

Alternatives & Related Tools

Alternatives

Related tools

How is it used?

Start from the recorded entry points below, then validate against the technical checklist.

  • Official site https://huggingface.co/datasets/dronefreak/SeaDronesSee
  • Documentation https://huggingface.co/datasets/dronefreak/SeaDronesSee

Technical checklist

  • OK License identified Recorded: cc0-1.0
  • OK Maintenance signal Active
  • OK Verification status Official confirmed
  • OK Source evidence attached 1 source record(s)
  • NEEDS REVIEW Latest version recorded Not recorded

Official Links

Metadata & Governance

License cc0-1.0 — Inferred
Commercial modelUnknown
Maintenance statusActive
Verification status Official confirmed — Confirmed via the official repository API responses in SourceRefs below.
Latest versionNot recorded
Latest releaseNot recorded
Last activity2026-08-11
Last checked2026-08-13
First seenNot recorded

Dataset facts

Taskobject-detection
Modalityimage, text
License (dataset card)cc0-1.0
Size category10K<n<100K
Downloads79
arXiv 2105.01922

Facts above come from the official dataset card only; unconfirmed fields stay unknown.

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