Modalities
Images, Videos
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)
Variants: LaRS
This dataset is used in 3 benchmarks:
Recent papers with results on this dataset: