2019-2020 Salmon and Pollock Object Detection dataset
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.
Source: Salmon tracking
About this Resource
| Last updated | unknown |
|---|---|
| Created | unknown |
| Name | 2019-2020 Salmon and Pollock Object Detection dataset |
| Format | Web Resource |
| License | No License Provided |
| Created | 1 month ago |
| has views | False |
| id | 8a0aa026-3bf7-4c2f-9454-befc454c4c5e |
| metadata modified | 1 month ago |
| package id | 9df69f81-9a99-4aaa-a7a2-9f243640cdd9 |
| position | 0 |
| resource locator function | download |
| resource locator protocol | WWW:LINK-1.0-http--link |
| state | active |
| tracking summary | {'total': 0, 'recent': 0} |