# DeepSeagrass Dataset

arXiv: https://arxiv.org/abs/2103.05226 · HTML: https://mlsanity.com/paper/2103.05226/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 10 references that are in the map.
- First posted on arXiv 9 Mar 2021.

## Builds on (most cited first, 3 of 3)

- [Deep Leaf Segmentation Using Synthetic Data](https://mlsanity.com/paper/1807.10931/) (2018)
- [Multi-species Seagrass Detection and Classification from Underwater Images](https://mlsanity.com/paper/2009.09924/) (2020)
- [Scalable learning for bridging the species gap in image-based plant phenotyping](https://mlsanity.com/paper/2003.10757/) (2020)

## Abstract (arXiv)

We introduce a dataset of seagrass images collected by a biologist snorkelling in Moreton Bay, Queensland, Australia, as described in our publication: arXiv:2009.09924. The images are labelled at the image-level by collecting images of the same morphotype in a folder hierarchy. We also release pre-trained models and training codes for detection and classification of seagrass species at the patch level at https://github.com/csiro-robotics/deepseagrass.