Datasets › SeaDronesSee
SeaDronesSee (SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water)
SeaDronesSee is a large-scale data set aimed at helping develop systems for Search and Rescue (SAR) using Unmanned Aerial Vehicles (UAVs) in maritime scenarios. Building highly complex autonomous UAV systems that aid in SAR missions requires robust computer vision algorithms to detect and track objects or persons of interest. This data set provides three sets of tracks: object detection, single-object tracking and multi-object tracking. Each track consists of its own data set and leaderboard.
Object Detection: 5,630 train images, 859 validation images, 1,796 testing images
Single-Object Tracking: 58 training video clips, 70 validation video clips and 80 testing video clips
Multi-Object Tracking: 22 video clips with 54,105 frames Additionally, we provide multi-spektral footage:
Multi-Spektral Object Detection: 246 train images, 61 validation images, 125 testing images
We will continue to update this data set to make it more versatile and reflect real-world requirements in dynamic situations.
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Object Detection | SeaDronesSee | Synth Pretrained Faster R-CNN ResNeXt-101-FPN mAP@0.5 59.20 | Leveraging Synthetic Data in Object Detection on... | Eisbaer8/DeepGTAV | 10 | Compare |
| Object Tracking | SeaDronesSee | DiMP50 Success Rate 67.33400 | SeaDronesSee: A Maritime Benchmark for Detecting Humans... | — | 5 | Compare |
| Multi-Object Tracking | SeaDronesSee | Tracktor++ MOTA 0.7190 | SeaDronesSee: A Maritime Benchmark for Detecting Humans... | — | 3 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 18. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles | 1 | 4 | 22 Dec 2021 | not harvested |
| SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water | 0 | 14 | 5 May 2021 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- SeaDronesSee
1 variant name, as the archive lists them.
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