Image labelling

Labelling

Object Detection

Labelling Computer Vision Project

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Here are a few use cases for this project:

  1. Industrial Safety Compliance: The "Labelling" model can be used to help enforce and maintain industrial safety standards in sectors like construction, manufacturing, or mining. By identifying whether workers are properly outfitted in vests, helmets, boots, and gloves, the model could assist in monitoring and promoting workplace safety.

  2. Automated Training Systems: Businesses that require personal protective equipment (PPE) could use this model in their training programs. Trainees could interact with the system which will determine whether they're wearing the right gear, providing real-time feedback and reinforcement of appropriate procedures.

  3. Personal Protective Equipment (PPE) Manufacturer Quality Control: Companies manufacturing PPE like vests, helmets, boots, and gloves, could use this model to check the visibility and recognizability of their products under different conditions (light, distance, blur etc). This can be instrumental in iterating better design and colors for enhanced safety.

  4. Surveillance Systems: Security cameras equipped with the "Labelling" model could provide enhanced surveillance for restricted or hazardous zones by identifying if entrants are adequately equipped with safety gear, alerting security personnel about potential non-compliant individuals in real-time.

  5. Film and Photography Editing: The model could also be used in post-production stages of film and photography editing where safety equipment needs to be added or removed. By identifying the specific items, editors can manipulate images to meet specific narratives or requirements.

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{
                            labelling-1t0au_dataset,
                            title = { Labelling Dataset },
                            type = { Open Source Dataset },
                            author = { Image labelling },
                            howpublished = { \url{ https://universe.roboflow.com/image-labelling-4x1hn/labelling-1t0au } },
                            url = { https://universe.roboflow.com/image-labelling-4x1hn/labelling-1t0au },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-03-29 },
                            }
                        

Connect Your Model With Program Logic

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Last Updated

a year ago

Project Type

Object Detection

Subject

a

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License

CC BY 4.0