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