SODD – Subaquatic Object Detection Dataset

Description

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).

Year of publication

2023

Type of data

Authors

Norwegian University of Science and Technology (NTNU)

Erlend Andreas Basso - Creator

Simon Andreas Hoff - Creator

Zenodo - Publisher

Åbo Akademi University

Hafiz Muhammad Ahmad Imam - Creator

Bogdan Iancu - Creator

Hergys Rexha - Creator

Sebastien Lafond - Creator

Project

Other information

Fields of science

Computer and information sciences

Language

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

Subject headings

Temporal coverage

undefined