Browsing by Subject "deep neural networks"

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    Video Diver Dataset (VDD-C) 100,000 annotated images of divers underwater
    (2021-04-19) de Langis, Karin; Fulton, Michael; Sattar, Junaed; fulto081@umn.edu; Fulton, Michael; Interactive Robotics and Vision Lab
    This dataset contains over 100,000 annotated images of divers underwater, gathered from videos of divers in pools and the Caribbean off the coast of Barbados. It is intended for the development and testing of diver detection algorithms for use in autonomous underwater vehicles (AUVs). Because the images are sourced from videos, they are largely sequential, meaning that temporally aware algorithms (video object detectors) can be trained and tested on this data. Training on this data improved our current diver detection algorithms significantly because we increased our training set size by 17 times compared to our previous best dataset. It is released for free for anyone who wants to use it.