Name: lentic waters dataset Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

602 images

Explore Dataset

Here are a few use cases for this project:

Autonomous Water Safety Monitoring: The model can be used in surveillance systems at waterfronts or swimming areas to monitor safety. The system can identify if a person is having difficulty paddling or if the canoe is not stable, and alert lifeguards or safety personnel.
Outdoor Equipment Rental Services: This computer vision model can be used by rental services to automate the process of tracking equipment usage such as canoes and paddles. It can identify when a rental item leaves and comes back to the rental location, helping to keep an organized inventory.
Canoe Training and Coaching: It can be used in smart training programs or applications where the system provides feedback on paddling technique, body posture, and correct usage of canoe for better performance and safety.
Paddle Sports Events: Innovative applications can be developed using this model for tracking performance in canoe racing or other paddle sports events. It can give insights about the techniques used by different athletes, helping in understanding their strategy.
Search and Rescue Missions: In case of missing persons or potential drowning situations, the model can be used by rescue teams to quickly scan large bodies of water for individuals on a canoe. The sooner a person is located, the more likely they are to be rescued safely.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            lentic-waters-dataset_dataset,
                            title = { lentic waters dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Fredy },
                            howpublished = { \url{ https://universe.roboflow.com/fredy-pogly/lentic-waters-dataset } },
                            url = { https://universe.roboflow.com/fredy-pogly/lentic-waters-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-05-02 },
                            }