sharkspotting Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
-
Beach safety monitoring: The sharkspotting model can be used to keep track of shark movements near popular swimming areas, making it easier for lifeguards to monitor and act quickly in case a shark enters the swimming zone to ensure the safety of beachgoers.
-
Ecological research: Marine biologists and researchers can use the sharkspotting model to study shark populations, their movement patterns, and interactions with other marine life, allowing them to better understand the ecosystem and make informed decisions about conservation.
-
Shark tourism assistance: The model can be used to help shark tour operators identify the best locations to observe sharks, ensuring a safe and enjoyable experience for tourists without disturbing the natural habitat of the animals.
-
Fishing industry support: The sharkspotting model can help fishers avoid accidentally catching sharks in their nets, promoting sustainable fishing practices and preventing harm to endangered shark populations.
-
Surveillance for marine protected areas: The model can be used to identify sharks in marine protected areas, helping authorities monitor and enforce protection rules, which ultimately contributes to the preservation of marine biodiversity.
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{
sharkspotting-2shbe_dataset,
title = { sharkspotting Dataset },
type = { Open Source Dataset },
author = { D4MS },
howpublished = { \url{ https://universe.roboflow.com/d4ms/sharkspotting-2shbe } },
url = { https://universe.roboflow.com/d4ms/sharkspotting-2shbe },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-12-22 },
}