2 citations · 2 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…
FathomVerse: A community science dataset for ocean animal discovery
Genevieve Patterson, Joost Daniels, Benjamin Woodward +4
Can computer vision help us explore the ocean? The ultimate challenge for computer vision is to recognize any visual phenomena, more than only the objects and animals humans encoun…
The FathomNet2023 Competition Dataset
Eric Orenstein, Kevin Barnard, Lonny Lundsten +3
Ocean scientists have been collecting visual data to study marine organisms for decades. These images and videos are extremely valuable both for basic science and environmental mon…