SODD – Subaquatic Object Detection Dataset

<p>The SODD dataset consists of 3168 images of underwater objects consistent with underwater installations, including the following categories: propeller, pipe, pipe_type2, net, red_fin, qr_codes. The total number of annotated objects are 8934, with the following distribution among categories: propeller (1092 instances), pipe (2008), pipe_type2 (886), red_fin (760), net (1556), qr_codes (2632). &nbsp;</p><p>The images were acquired from a collection of videos (mp4 format, with HD resolution, and 16 FPS). The videos were acquired in an indoor pool&nbsp;using a Blue Robotics low-light USB camera.&nbsp;The vehicle used is a BlueROV2 from Blue Robotics with the heavy configuration retrofit kit, providing full actuation in 6 degrees of freedom.</p><p>More details in the documentation enclosed in the file SODD_Documentation.&nbsp;</p><p>&nbsp;</p><p><i>Acknowledgements</i></p><p>We would like to thank Professors Damiano Varagnolo and Annette Stahl from the Norwegian University for Science and Technology for the valuable advice during the planning phase of the data collection.&nbsp;</p><p>&nbsp;</p>