AFSC/RACE/MACE: 2019-2020 Salmon and Pollock Object Detection
This dataset contains the annotated data, object detection models, and video data used to fine-tune and evaluate object detection models for salmon and pollock detection in videos collected in a commercial pollock trawl in Alaska. The annotated data contains track annotations for all Pacific salmon (Oncorhynchus spp.) and walleye pollock (Gadus chalcogrammus) 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-fold cross validation was used to evaluate EfficientDet D2 and YOLO11n object detection models, and this dataset includes all of these models and a single-class, salmon-only YOLO11n model. In addition to the annotated video frames that are provided as images, videos from three fishing tows that were not annotated are included with their respective YOLO11n detections. These three fishing tows were used to further evaluate the object detection performance of the best performing pollock and salmon model and the salmon-only model.
Complete Metadata
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|---|---|
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| description | This dataset contains the annotated data, object detection models, and video data used to fine-tune and evaluate object detection models for salmon and pollock detection in videos collected in a commercial pollock trawl in Alaska. The annotated data contains track annotations for all Pacific salmon (Oncorhynchus spp.) and walleye pollock (Gadus chalcogrammus) 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-fold cross validation was used to evaluate EfficientDet D2 and YOLO11n object detection models, and this dataset includes all of these models and a single-class, salmon-only YOLO11n model. In addition to the annotated video frames that are provided as images, videos from three fishing tows that were not annotated are included with their respective YOLO11n detections. These three fishing tows were used to further evaluate the object detection performance of the best performing pollock and salmon model and the salmon-only model. |
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|
| identifier | gov.noaa.nmfs.inport:69412 |
| issued | 2023-03-08T00:00:00.000+00:00 |
| keyword |
[
"detection",
"pollock",
"salmon",
"tracking",
"trawls",
"video",
"DOC/NOAA/NMFS/AFSC > Alaska Fisheries Science Center, National Marine Fisheries Service, NOAA, U.S. Department of Commerce",
"Conservation Engineering Research"
]
|
| landingPage | https://www.fisheries.noaa.gov/inport/item/69412 |
| language |
[]
|
| license | https://creativecommons.org/publicdomain/zero/1.0/ |
| modified | 2025-09-25T00:00:00.000+00:00 |
| publisher |
{
"name": "Alaska Fisheries Science Center",
"@type": "org:Organization"
}
|
| references |
[
"https://www.fisheries.noaa.gov/inportserve/waf/noaa/nmfs/afsc/dmp/pdf/69412.pdf"
]
|
| rights | otherRestrictions, unclassified |
| spatial | -164.5,54.33333333333,-166.0,55.33333333333 |
| temporal | 2019-06-01T00:00:00+00:00/2019-06-30T00:00:00+00:00 |
| title | AFSC/RACE/MACE: 2019-2020 Salmon and Pollock Object Detection |
