ALMA_Detection Object Detection Dataset and Pre-Trained Model by Simone Arreghini

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Explore Dataset

Here are a few use cases for this project:

Home Security: Use the model to create smart home systems that alert households when an entryway (door, window with a handle, etc.) is being tampered with or opened. Tag: "home security", "smart home", "burglary prevention".
Accessibility Assistance: Track usage of handles and knobs in a home, helping analyze and enhance the living conditions for people with physical disabilities or the elderly. Tag: "accessibility tools", "physical disability support", "elderly care".
Retail Analytics: Use in retail environments to detect customers’ behavior such as what products (with handles/knobs) they are most attracted to. Tags: "retail analytics", "customer behavior analysis", "in-store tracking".
Supply Chain Verification: A system could use the model to confirm the presence and correct assembly of handles/knobs on products during manufacturing processes. Tag: "Quality control", "manufacturing", "supply chain verification".
Augmented Reality Gaming: Use in AR gaming environments to interact with real-world door handles or knobs for digital gaming experiences. Tags: "AR gaming", "interactive gaming", "real-world object detection".

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{
                            alma_detection_dataset,
                            title = { ALMA_Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Simone Arreghini },
                            howpublished = { \url{ https://universe.roboflow.com/simone-arreghini/alma_detection } },
                            url = { https://universe.roboflow.com/simone-arreghini/alma_detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-06-23 },
                            }