Labeled images of emerged salmonids in a riverine environment

The datasets contain over 2300 annotated images of emerged salmonids collected in a natural riverine environment. The images stem from surveillance video collected during 2022 and 2023 fall runs of several pacific salmonid species introduced to the Laurentian Great Lakes on the Boardman (Ottaway) River in Traverse City, MI, USA. In addition to images of fully emerged salmonids, datasets are provided containing images of partially emerged salmonids, fully submerged fish, and other wildlife present in a riverine environment. The environmental conditions represented by most of the images were clear or partly cloudy. These datasets could be used to develop custom object detection models for emerged fish in riverine environments.

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Publication Details

Journal
BMC Research Notes
Published
2024-11-27
DOI
https://doi.org/10.1186/s13104-024-07012-2
Citations
1
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
0.69

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article

Labeled images of emerged salmonids in a riverine environment

Daniel P. Zielinski, Jesse Eickholt, Jonathan Gregory, Jordan Leh et al.
1 citations
BMC Research Notes
Fish Ecology and Management Studies
0.69
article

Labeled images of emerged salmonids in a riverine environment

Daniel P. Zielinski, Jesse Eickholt, Jonathan Gregory, Jordan Leh, Sethu Mettukulam Jagadeesan
article en
1 citations

Abstract

The datasets contain over 2300 annotated images of emerged salmonids collected in a natural riverine environment. The images stem from surveillance video collected during 2022 and 2023 fall runs of several pacific salmonid species introduced to the Laurentian Great Lakes on the Boardman (Ottaway) River in Traverse City, MI, USA. In addition to images of fully emerged salmonids, datasets are provided containing images of partially emerged salmonids, fully submerged fish, and other wildlife present in a riverine environment. The environmental conditions represented by most of the images were clear or partly cloudy. These datasets could be used to develop custom object detection models for emerged fish in riverine environments.

BMC Research NotesVol. 17(1)
Great Lakes Fishery Commission (US), Central Michigan University (US)
Great Lakes Fishery Commission, Michigan Department of Natural Resources, U.S. Fish and Wildlife Service, U.S. Geological Survey, U.S. Army Corps of Engineers
Openalex Percentile: Top 24%
Fish Ecology and Management Studies
0.69
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