This dataset contains images of different marine animals that was created to evalute the abilites of LLM in classifing marine mamals.
Hierarchy class |
Training set | Validation set | Testing set | |
---|---|---|---|
# images | 1163 | 130 | 130 |
Min # per species | 11 | 2 | 2 |
Max # per species | 37 | 2 | 2 |
# Group classes | 4 | 4 | 4 |
# Medium classes | 10 | 10 | 10 |
# Species classes | 65 | 65 | 65 |
If you can find our project is useful, please cite our paper
@article{qi2024benchmarking,
title={Benchmarking Large Language Models for Image Classification of Marine Mammals},
author={Qi, Yijiashun and Cai, Shuzhang and Zhao, Zunduo and Li, Jiaming and Lin, Yanbin and Wang, Zhiqiang},
journal={arXiv preprint arXiv:2410.19848},
year={2024}
}
If you are interested in evaluating the LLM's abilities in guessing image's geolocation, please refer to our another project LLMGeo.