smart_refrigerator Object Detection Dataset and Pre-Trained Model by personal

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Here are a few use cases for this project:

Grocery Management Applications: The model can be integrated into smart kitchen apps to monitor the types and quantities of vegetables present in a refrigerator, providing reminders to users about restocking necessities or using certain products before they go bad.
Health and Diet Tracking: The model's vegetable recognition capability can be used for tracking dietary intake, helping users log their vegetable consumption simply by taking a picture of their fridge's contents. This would be useful in health and fitness applications.
Waste Reduction Programs: Environmental or charity organizations could use the model to identify and quantify vegetables in people's refrigerators to help them plan meals, reducing food waste by encouraging consumption of perishable items first.
Smart Cooking Apps: The model could be implemented in recipe suggestion apps. Users take a picture of the contents of their fridge, the app identifies the available vegetables, and suggests recipes accordingly.
Educational Tools for Children: The model can be used in an educational tool, child-friendly app or game, helping children recognize and learn about different types of vegetables by scanning the contents of their fridge.

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{
                            smart_refrigerator_dataset,
                            title = { smart_refrigerator Dataset },
                            type = { Open Source Dataset },
                            author = { personal },
                            howpublished = { \url{ https://universe.roboflow.com/personal-2uusc/smart_refrigerator } },
                            url = { https://universe.roboflow.com/personal-2uusc/smart_refrigerator },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-28 },
                            }