dronefreak/SeaDronesSee
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
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
- dronevehicle — Alternative to
- anti-uav — Alternative to
Related tools
- mmdetection — compatible with
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 model | Unknown |
| Maintenance status | Active |
| Verification status | Official confirmed — Confirmed via the official repository API responses in SourceRefs below. |
| Latest version | Not recorded |
| Latest release | Not recorded |
| Last activity | 2026-08-11 |
| Last checked | 2026-08-13 |
| First seen | Not recorded |
Dataset facts
| Task | object-detection |
|---|---|
| Modality | image, text |
| License (dataset card) | cc0-1.0 |
| Size category | 10K<n<100K |
| Downloads | 79 |
| arXiv | 2105.01922 |
Facts above come from the official dataset card only; unconfirmed fields stay unknown.
Related Resources & Dependencies
- dronevehicle — alternative to (verified)
- anti-uav — alternative to (verified)
- mmdetection — compatible with (verified)
Recent Activity
New resource: dronefreak/SeaDronesSee
New repository resource added by the sprint promote pipeline.
Related Knowledge
Collections
- Aerial Mapping and Survey Stack — An open-source stack for aerial mapping work from imagery and datasets through photogrammetry processing.
- Aerial Perception Models and Datasets — Source-backed aerial dataset and model repositories for detection and tracking research and prototyping.
- Edge AI Perception Starter — A starting stack for prototyping aerial perception models before edge deployment work.
- Visual Perception Models and Data — Indexed model and dataset repositories for aerial visual perception research and prototyping.