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Some samples of the individual datasets:

SeaDronesSee Object Detection v1

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SeaDronesSee Object Detection v1 - Meta Data Visualization

Almost all images are labeled with precise meta data annotation

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SeaDronesSee Multi-Object Tracking

Downscaled sample cuts from videos:

SeaDronesSee Multi-Object Tracking - Illustration of Meta Data Labels

Downscaled sample cuts from videos:

LaRS: Maritime Panoptic Obstacle Detection Benchmark

LaRS webpage

Dataset highlights:

• Largest and most diverse panoptic maritime obstacle detection dataset
• Diverse scenes from manual capture, public videos and existing datasets
• Suitable for panoptic segmentation and semantic segmentation
• 4000+ manually labelled frames:
  • 3 stuff classes and 8 thing (dynamic obstacle) categories
  • 20 scene-level attributes
• Temporal context for each annotated frame (9 frames, total 40k frames)

Example scenes:

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