Chefling_new Object Detection Dataset and Pre-Trained Model by Project CES

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Explore Dataset

Here are a few use cases for this project:

Grocery Shopping Guidance: Users can take a picture of their pantry or refrigerator, and the model can identify what food items are present and what items are missing, which could help craft a shopping list.
Dietary Management: Nutritionists can use the model to monitor and analyze their clients' food intake. By analyzing images of their refrigerator's contents, the model can give insights about their diet and suggest necessary adjustments.
Inventory Management: The model can assist grocery store owners in managing their inventory by scanning images of their shelves and determining which items require restocking.
Cooking Recipe Suggestions: A cooking app could use this model to help suggest recipes based on the ingredients identified in user's kitchen or refrigerator.
Waste Reduction and Expiry Management: Users can manage food waste better by tracking what groceries they have. When combined with data on food expiry dates, the model could alert users to when items are nearing their use-by date.

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{
                            chefling_new_dataset,
                            title = { Chefling_new Dataset },
                            type = { Open Source Dataset },
                            author = { Project CES },
                            howpublished = { \url{ https://universe.roboflow.com/project-ces/chefling_new } },
                            url = { https://universe.roboflow.com/project-ces/chefling_new },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-15 },
                            }