CV project

Weqaa

Object Detection

Weqaa Computer Vision Project

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Fire safety equipment (FSE) plays a crucial role in reducing fire risks. However, based on previous research, It is estimated that a third of this equipment would not work properly in an emergency. Fire safety inspectors, therfore, are responsible for performing tasks that involve visual inspection of safety equipment and reporting defects. This project aims to replace the traditional approach of manually checking each piece of equipment and enhance such an inspection using computer vision. To accomplish this task, dataset was created focusing only on fire extinguishers, covering all conditions that must be checked according to the requirements of the Saudi Building Code for Fire Protection.

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{
                            weqaa_dataset,
                            title = { Weqaa Dataset },
                            type = { Open Source Dataset },
                            author = { CV project },
                            howpublished = { \url{ https://universe.roboflow.com/cv-project-g2qeh/weqaa } },
                            url = { https://universe.roboflow.com/cv-project-g2qeh/weqaa },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-06-22 },
                            }
                        

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Source

CV project

Last Updated

3 months ago

Project Type

Object Detection

Subject

Fire-Ex

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Downloads: 2

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License

CC BY 4.0

Classes

body_bad body_good expire_date gauge_bad gauge_good hose_exist hose_good safteyPin_good