A new application for automated video identification of marine species (AVIMS)

• Published by: Marine Environmental Data & Information Network
• Last updated: 10 July 2024
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

In the course of its environmental monitoring activities, the Scottish Government’s Marine Directorate collects a large amount of underwater video to, for example, obtain information on the numbers of fish in rivers or on species living on the seabed. Manual analysis of this footage is laborious and costly, but Machine Learning algorithms can now be used to automate such image analysis. The Marine Directorate commissioned the University of East Anglia to develop a web-based application to allow staff to create, train and execute machine learning-based (semi-)automated analysis of video footage without a need to interact with the underlying computer code. The application was tested using three diverse sets of video footage and found to be usable by staff without computer science or coding experience. The tool was able to detect and count sea pens in footage from towed underwater vehicles, salmon smolts at sea in underwater footage from towed fishing gear and adult salmon and sea trout in footage from underwater or overhead cameras at fixed locations on rivers. Improving the accuracy of the models at detecting and counting organisms of interest will require the use of larger annotated datasets in further training of the algorithms, but the current application provides a basis for further developing these.

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Data links

Link to the data	Format	File added	Data preview
Resource locator	N/A	10 July 2024	Not available

Additional information

View additional metadata

• Added to data.gov.uk: 2023-10-13
• Access contraints: no limitations to public access
• Harvest GUID: Marine_Scotland_FishDAC_12473
• Extent: Latitude: 63.88707° to 54.43328°
• Extent: Longitude: -14.89295° to 2.605066°
• Spatial reference system: urn:ogc:def:crs:EPSG::4326
• Dataset reference date: 2023-10-13 (publication)
• Frequency of update: unknown
• Responsible party: Scottish Government (Marine Scotland) (pointOfContact, custodian, distributor); University of East Anglia (UEA) (originator)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

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Licence information

The following attribution statement must be used: Contains information from the Scottish Government (Marine Scotland) licensed under the Open Government Licence v3.0.