13 citations · 20 across the 3 of their papers we have counts for
3 papers
DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video
Kevin Barnard, Elaine Liu, Kristine Walz +3
Benchmarking multi-object tracking and object detection model performance is an essential step in machine learning model development, as it allows researchers to evaluate model det…
FathomNet: A global image database for enabling artificial intelligence in the ocean
Kakani Katija, Eric Orenstein, Brian Schlining +8
The ocean is experiencing unprecedented rapid change, and visually monitoring marine biota at the spatiotemporal scales needed for responsible stewardship is a formidable task. As…
FathomNet: An underwater image training database for ocean exploration and discovery
Océane Boulais, Ben Woodward, Brian Schlining +4
Thousands of hours of marine video data are collected annually from remotely operated vehicles (ROVs) and other underwater assets. However, current manual methods of analysis imped…