HouseHolds Objects Object Detection Dataset and Pre-Trained Model by ObjectDetection

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Explore Dataset

Here are a few use cases for this project:

Kitchen Inventory Management: The model can be used to automatically catalogue and manage inventory in a home or commercial kitchen, keeping track of utensils, appliances, and food items.
Smart Home Automation: In smart homes, the model can be used for object identification to run specific routines or tasks. For instance, identifying a coffee machine could trigger the automation system to make coffee.
Waste Management and Recycling: The model could be used in waste management systems to properly sort household objects during waste disposal, determine if they're recyclable or not, or even identify items that are not disposed of correctly.
Assisting Visually Impaired People: This model could be used in an application designed for the visually impaired to identify and distinguish household objects, making their daily activities more convenient and independent.
Home Security Systems: The model could be integrated into home security systems to identify objects that are out of place or missing, potentially highlighting theft or disturbance.

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{
                            households-objects-rarsu_dataset,
                            title = { HouseHolds Objects Dataset },
                            type = { Open Source Dataset },
                            author = { ObjectDetection },
                            howpublished = { \url{ https://universe.roboflow.com/objectdetection-n8o3r/households-objects-rarsu } },
                            url = { https://universe.roboflow.com/objectdetection-n8o3r/households-objects-rarsu },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-04-29 },
                            }