MKUO-and-Sparse-Ghost-Module

An Annotated Underwater Organism Image Benchmark Dataset and A Lightweight Module Designed for the Object Detection Networks

Jiafeng Huang¹, Tianjun Zhang¹, Shengjie Zhao¹, Lin Zhang¹, and Yicong Zhou²

¹School of Software Engineering, Tongji University, Shanghai, China

²Department of Computer and Information Science, University of Macau, China

Introduction

This is the website for our paper An Annotated Underwater Organism Image Benchmark Dataset and A Lightweight Module Designed for the Object Detection Networks.

MKUO Dataset

Dataset (pwd: 3ub6)

Table 1. An overview of underwater organism datasets.

MKUO is the underwater biological data set covering the broadest categories and the first one labeled with taxonomy scientific name.

Figure 1. Some typical samples of our MKUO dataset.

In each column, the image without annotations is shown on the top, and the corresponding result with annotations is shown at the bottom. From left to right, the samples of Pneumatophorus japonicus, Aurelia aurita, Scarus ghobban and Echeneis naucrates are given, respectively.

Sparse Ghost Module

Table 2. Performance results of Sparse Ghost Module and some other classical lightweight modules.

Considering all metrics comprehensively, the lightweight effect of the Sparse Ghost Module is the best among all compared schemes.

Source Codes

Sparse Ghost Module Codes