• Source created: Feb. 15, 2023, 2:50 p.m.
  • Last classifier saved: March 29, 2024, 1:55 p.m.
  • Last classifier trained: March 29, 2024, 1:55 p.m.
  • Default image annotation area: X: 0 - 100% / Y: 0 - 100%
  • Annotation point generation: Simple random, 50 points
  • Feature extractor: EfficientNet (default)
  • Confidence threshold: 100% (edit)


We are using a BlueROV2 to survey kelp forests in Puget Sound and the outer Washington coast. This project expands upon current long term monitoring projects that are being conducted by the Seattle Aquarium. The goal of this work is to better understand kelp forest dynamics by recording species present as well as substrate type.

Members

CPP_ROV Admin
meganw View

Source Details

Visibility: Public
Latitude: 47.60414
Longitude: -122.371

Automated Annotation

Image Status

Unclassified: 0
Unconfirmed: 723
Confirmed: 1420
Total images: 2143