StarSeg Computer Vision Project
This project is a product of the Hodin Lab at the University of Washington Friday Harbor Laboratories. It has the goal of developing a Pacific Northwest sea star instance segmentation and classification tool. Ultimately this tool will be used as a part of a sea star photo re-identification pipeline. Additionally, we hope this tool aids in the use of camera transect surveys of marine habitat.
The primary target species for this model is the Sunflower Seastar Pycnopodia helianthoides, the inclusion of other species is to make the model more robust to confusion species when deployed. For this reason, and our labs access to images of the Sunflower seastar it is over represented in the dataset.
If you have images of sea stars and wish to contribute to the project contact Willem @ willemlw@uw.edu
Our target number of annotated images is >10k with >100 annotated examples for each species.
We hope to have a future extension of this model which includes both star and prey annotations.
We are drawing images from a diverse set of sources including. iNaturalist Google search Collaborators Personal lab + field images boldsystems
We are using the annotation tool CVAT
Involved members are: Willem Lee Weertman Marilyn Duncan Ian Taylor Jason Hodin Brook Ashcraft
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
starseg_dataset,
title = { StarSeg Dataset },
type = { Open Source Dataset },
author = { Willem Weertman },
howpublished = { \url{ https://universe.roboflow.com/willem-weertman/starseg } },
url = { https://universe.roboflow.com/willem-weertman/starseg },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2024-03-29 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the StarSeg project in your project.