Life Jacket Object Detection Dataset and Pre-Trained Model by CONTIL

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Here are a few use cases for this project:

Boat Safety Monitoring: Use the model in surveillance cameras to monitor if every person on a boat is wearing a life jacket during emergency or rough weather situations. This application could potentially improve safety on commercial and private boats.
Water Sports Safety: The model could be implemented in sporting events such as rafting, jet-skiing, or paddle boarding, where wearing life-jackets is a safety protocol, to ensure that all participants are complying with the safety guide.
Public Area Surveillance: The model could be used in public recreational areas such as beaches and pools to automatically detect if swimmers or boaters not wearing life jackets are potentially in danger of drowning.
Training Purpose: This model could be used to teach AI to detect safety measures adherence in various risky situations, by using it as an example of an AI that successfully detects whether life jackets are being worn in the appropriate context.
Rescue Operations: During rescue operations in water bodies, this AI model could help quickly identify individuals who are not wearing life jackets and are in critical need of immediate help.

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{
                            life-jacket-kt521_dataset,
                            title = { Life Jacket Dataset },
                            type = { Open Source Dataset },
                            author = { CONTIL },
                            howpublished = { \url{ https://universe.roboflow.com/contil-rn9fi/life-jacket-kt521 } },
                            url = { https://universe.roboflow.com/contil-rn9fi/life-jacket-kt521 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-06-25 },
                            }