Datasets for "A Design Space-Based Network for Efficient and Accurate Fish Recognition in Aquaculture"

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Authors: Tang
Cited by: 0

Abstract

This dataset serves as supplementary material for the manuscript titled "A Design Space-Based Network for Efficient and Accurate FishRecognition in Aquaculture", submitted to the journal Ecological Informatics. Content:This repository contains the experimental data used in the study. Usage:Please refer to the associated GitHub repository for code and usage instructions: https://github.com/X1a0hu/A-Design-Space-Based-Network-for-Efficient-and-Accurate-Fish-Recognition-in-Aquaculture

Fields of Study & Subjects

Water Quality Monitoring Technologies Advanced Neural Network Applications Smart Agriculture and AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 February 2026
Document type
Dataset