"BMOD: A Dataset for Underwater Object Detection in Dim-Light Subsea Scenarios"

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Authors: Yang Liu
Cited by: 0

Abstract

"The BMOD (Biological Multi-Object Detection) dataset is a specialized collection of underwater images designed for object detection in dim-light subsea scenarios. It consists of high-resolution images covering various marine organisms. This dataset serves as the experimental basis for the paper \"DAF-YOLO11: An Object Detection Algorithm for Dim-Light Subsea Scenarios,\" providing challenging samples with low visibility, noise interference, and target occlusion."

Fields of Study & Subjects

Advanced Neural Network Applications Underwater Vehicles and Communication Systems Water Quality Monitoring Technologies

Publication details

Journal / source
IEEE DataPort
Publication date
17 January 2026
Document type
Dataset