LaRS (Lakes, Rivers and Seas Dataset)
Introduced by Žust et al. in LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
LaRS is the largest and most diverse panoptic maritime obstacle detection dataset.
Highlights:
- Diverse scenes from manual capture, public online videos and existing datasets
- USV-centric point of view
- 4000+ manually per-pixel labelled frames:
- 3 stuff categories and 8 thing (dynamic obstacles) categories
- 20 scene-level attributes (e.g. illumination, reflections, conditions)
- Temporal context for each annotated frame (9 preceding frames, total: 40k frames)
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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LaRS
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SWIM^2
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LaRS
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Mask2Former
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LaRS
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WaSR-T
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Papers
| Paper | Code | Results | Date | Stars |
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