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Salmon tracking
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
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2019-2020 Salmon and Pollock Object Detection dataset
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GCMD Keyword Forum Page
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Full Metadata Record
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | non-public |
| contactPoint |
{ "fn": "Wilson, Katherine", "@type": "vcard:Contact", "hasEmail": "mailto:katherine.wilson@noaa.gov" } |
| describedByType | application/octet-steam |
| description | 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. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "2019-2020 Salmon and Pollock Object Detection dataset", "accessURL": "https://console.cloud.google.com/storage/browser/nmfs_odp_afsc/RACE/MACE/salmon_pollock_object_detection/", "mediaType": "text/html", "description": "This folder within the Alaska Fisheries Science Center's Google cloud storage contains the data and object detection models used for the Lurbur et al. 2026 study on multi-object tracking of salmon in trawl videos from the Alaska commercial pollock fishery. The 'annotated_data' folder contains a folder for each of the 184 video clips used in the study that provides video frames as png files and the annotations as a custom COCO json file. The 'models' folder contains the object detection models that were used in the study. The 'documentation' folder contains text files that provide details about the data and the cloud storage file structure. The 'tow_data' folder contains videos and data relevant to the Wilson et al. 2025 study and is not relevant to the Lurbur et al. 2026 study.", "describedByType": "application/octet-stream" }, { "@type": "dcat:Distribution", "title": "GCMD Keyword Forum Page", "accessURL": "https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords", "mediaType": "text/html", "description": "Global Change Master Directory (GCMD). 2026. GCMD Keywords, Version 24. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords", "describedByType": "application/octet-stream" }, { "@type": "dcat:Distribution", "title": "Full Metadata Record", "accessURL": "https://www.fisheries.noaa.gov/inport/item/79020", "mediaType": "text/html", "description": "View the complete metadata record on InPort for more information about this dataset.", "describedByType": "application/octet-stream" } ] |
| identifier | https://data.noaa.gov/waf/NOAA/nmfs/afsc/iso/xml/79020.xml |
| issued | 2023-03-08T00:00:00.000+00:00 |
| keyword |
[ "bycatch reduction", "computer vision", "multi-object tracking", "object detection", "trawl fisheries", "DOC/NOAA/NMFS/AFSC > Alaska Fisheries Science Center, National Marine Fisheries Service, NOAA, U.S. Department of Commerce", "AFSC/RACE/MACE: 2019-2020 Salmon and Pollock Object Detection" ] |
| landingPage | https://www.fisheries.noaa.gov/inport/item/79020 |
| language |
[]
|
| license | https://creativecommons.org/publicdomain/zero/1.0/ |
| modified | 2026-01-20T00:00:00.000+00:00 |
| publisher |
{ "name": "Alaska Fisheries Science Center", "@type": "org:Organization" } |
| rights | otherRestrictions, unclassified |
| spatial | -165.59805555556,54.32472222222,-166.03722222222,54.69833333333 |
| temporal | 2020-08-07T00:00:00+00:00/2020-08-10T00:00:00+00:00 |
| theme |
[ "geospatial" ] |
| title | Salmon tracking |
