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Salmon tracking

Published by Alaska Fisheries Science Center | National Oceanic and Atmospheric Administration, Department of Commerce | Metadata Last Checked: February 28, 2026 | Last Modified: 2026-01-20T00:00:00.000+00:00
This dataset contains the annotated data and object detection models used to evaluate multi-object tracking (MOT) algorithms for tracking Pacific salmon (Oncorhynchus spp.) in videos collected in a commercial walleye pollock (Gadus chalcogrammus) trawl in Alaska. The annotated data contains track annotations for all Pacific salmon and walleye pollock present and frame level annotations that describe the trawl and background conditions. The annotated data is composed of 11,572 salmon and 73,394 pollock annotations from 16,989 video frames that came from 184 video clips. Five sizes of YOLO12 detection models (n, s, m, l, and x) were fine-tuned and evaluated for pollock and salmon detection and four tracking algorithms (BoT-SORT, ByteTrack, Intersection over Union, and Centroid) were used to assess MOT of bycaught Pacific salmon in trawls. All five YOLO12 models are provided as part of this dataset.

Resources

3 resources available

  • NOAA Data Management Plan (DMP)

    PLACEHOLDER/VALUE
  • GCMD Keyword Forum Page

    PLACEHOLDER/VALUE
  • Full Metadata Record

    PLACEHOLDER/VALUE

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