DeepFish (A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis) [Paper]

Accepted at Scientific Reports (Nature)

This repository contains the code to reproduce the experiments of the paper.

• DeepFish Paper.
• Download the DeepFish dataset from here

Install requirements

pip install -r requirements.txt

Reproducing paper experiments

Installation

Download the repository:

git clone https://github.com/alzayats/DeepFish.git

Experiment hyperparameters are defined in exp_configs.py

Run the following command to reproduce the experiments in the paper:

python trainval.py -e ${TASK} -sb ${SAVEDIR_BASE} -d ${DATADIR} -r 1

The variables (${...}) can be substituted with the following values:

• TASK : clf, reg, loc, seg
• SAVEDIR_BASE: Absolute path to where results will be saved
• DATADIR: Absolute path containing the downloaded datasets

Citations

If you use the DeepFish dataset in your work, please cite it as:

@article{saleh2020realistic,
    title={A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis},
    author={Alzayat Saleh and Issam H. Laradji and Dmitry A. Konovalov and Michael Bradley and David Vazquez and Marcus Sheaves},
    year={2020},
    eprint={2008.12603},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}