StarSeg Computer Vision Project
Updated 9 months ago
453
29
Metrics
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
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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 = { 2024 },
month = { mar },
note = { visited on 2024-12-22 },
}