SODD – Subaquatic Object Detection Dataset
Beskrivning
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).
Visa merPubliceringsår
2023
Typ av data
Upphovspersoner
Norwegian University of Science and Technology (NTNU)
Erlend Andreas Basso - Upphovsperson
Simon Andreas Hoff - Upphovsperson
Zenodo - Utgivare
Bogdan Iancu 
Hergys Rexha - Upphovsperson
Sebastien Lafond
Åbo Akademi University
Hafiz Muhammad Ahmad Imam - Upphovsperson
Projekt
Övriga uppgifter
Vetenskapsområden
Data- och informationsvetenskap
Språk
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Öppet