{"references": ["Ultralytics-YOLOv5 (2022). https://github.com/ultralytics/yolov5", "Tzutalin (2015) LabelImg. Git code. https://github.com/tzutalin/labelImg", "R-Core-Team (2022) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/", "Kuhn, M. (2022) caret: classification and regression training. https://CRAN.R-project.org/package=caret", "Wickham et al., (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686, https://doi.org/10.21105/joss.01686", "Hadley Wickham (2007). Reshaping Data with the reshape Package. Journal of Statistical Software, 21(12), 1-20. URL http://www.jstatsoft.org/v21/i12/", "Xiao N (2018). _ggsci: Scientific Journal and Sci-Fi Themed Color Palettes for 'ggplot2'_. R package version 2.9, ", "L\u00fcdecke et al., (2021). see: An R Package for Visualizing Statistical Models. Journal of Open Source Software, 6(64), 3393. https://doi.org/10.21105/joss.03393", "Oksanen J, Simpson G, Blanchet F, Kindt R, Legendre P, Minchin P, O'Hara R, Solymos P, Stevens M, Szoecs E, Wagner H, Barbour M, Bedward M, Bolker B, Borcard D, Carvalho G, Chirico M, De Caceres M, Durand S, Evangelista H, FitzJohn R, Friendly M, Furneaux B, Hannigan G, Hill M, Lahti L, McGlinn D, Ouellette M, Ribeiro Cunha E, Smith T, Stier A, Ter Braak C, Weedon J (2022). _vegan: Community Ecology Package_. R package version 2.6-2, ", "Dray S, Bauman D, Blanchet G, Borcard D, Clappe S, Guenard G, Jombart T, Larocque G, Legendre P, Madi N, Wagner HH (2022). _adespatial: Multivariate Multiscale Spatial Analysis_. R package version 0.3-16, ", "Tan, M. & Le, Q.V. (2019) EfficientNet: Rethinking model scaling for convolutional neural networks. 36th International Conference on Machine Learning, ICML 2019, 2019-June, 10691-10700. https://doi.org/10.48550/arXiv.1905.11946", "Liang, G., Chen, J., Xie, J., Deng, Z. & Cui, Y. (2021) Classification of fine-grained species of marine organisms based on multi-scale fusion. ACM International Conference Proceeding Series, 94-100. https://doi.org/10.1145/3485314.3485321", "Hou, Q., Zhou, D. & Feng, J. (2021) Coordinate attention for efficient mobile network design. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 13708-13717. https://doi.org/10.1109/CVPR46437.2021.01350"]}

A manually annotated image dataset of crabs collected from 16 mangrove forests in China, and a set of trained detection models based on YOLOv5 and EfficientNet. We provide a simple UI that is designed by us, please cite it if helpful.