tiny_test Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
-
Lifeguard Assistance: Implement the "tiny_test" model into a monitoring system at beaches or swimming pools to help lifeguards detect and distinguish between earth_persons and sea_persons. This will enable them to keep better track of swimmers in the water, ensuring swift assistance in case of emergencies.
-
Marine Life Research: Use the model to gather data on human presence and interaction with marine life at various coastal locations. By distinguishing between earth_persons and sea_persons, researchers can gain insights into how humans influence sea life and develop conservation strategies.
-
Water Sports Event management: Apply the "tiny_test" model in organizing water sports events like surfing, swimming, or beach volleyball championships. Having a real-time count of participants and their positions in the water or on land can help in managing the event efficiently.
-
Automated Tourist Photo Album Creation: Utilize the model to sort and tag individuals' vacation photos from beach destinations. Users can quickly identify pictures taken on-land or in-water, making it easier to compile and organize their memories.
-
Coastal Security Applications: Use the "tiny_test" model in surveillance systems at coastal areas or docks to track people's movement, distinguishing between those on land and in the water, contributing to improved safety and emergency response measures.
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{
tiny_test_dataset,
title = { tiny_test Dataset },
type = { Open Source Dataset },
author = { qqq },
howpublished = { \url{ https://universe.roboflow.com/qqq/tiny_test } },
url = { https://universe.roboflow.com/qqq/tiny_test },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { aug },
note = { visited on 2024-11-23 },
}