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Initiative #91

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Localization and Tracking of Beluga Whales in Aerial video Using Deep Learning

Listed in the registry Pilot Original language : English

About the initiative

Description of the initiative

Deep-learning model was developed us YOLOv7 to detect beluga whales from imagery footage. The main contribution of this research is providing a system that accurately detects and tracks features of beluga whales, both adults and calves, from aerial footage.

AI family

Perception and Understanding

Bucket rationale

AI "sees" and tracks wildlife movement in complex video data.

Lifecycle

  1. Ideation

    Stage status : Completed

    June 1, 2025

  2. Assessment

    Stage status : Completed

  3. Approved

    Stage status : Completed

  4. Development

    Stage status : Completed

  5. Pilot

    Stage status : In progress

  6. Production

    Stage status : Upcoming

  7. Archived

    Stage status : Upcoming

Schedule for this initiative

  • Completed
  • In progress
  • Planned
  • Not applicable
  • Today
2025 Jun Jul Aug Sep Oct Nov Dec 2026 Jan Feb Mar Apr May Jun Jul Aug Sep
  1. Ideation

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Contacts

Requester
Smith, Melannie
Sector contact
Smith, Melannie
Subject matter expert
Winegardner, Amanda
Smith, Melannie

Data and tools

Sector
Ecosystems and Oceans Science
Region
National Capital Region
Submitted on
June 1, 2025