foodsnap_data Instance Segmentation Dataset and Pre-Trained Model by FoodSnap

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Here are a few use cases for this project:

Dietary Analysis Application: An app could use this model to identify different food items on a plate, helping users track their dietary intake. If combined with nutrition data, it could also calculate calories and nutrition facts automatically.
Smart Kitchen Assistant: The model can be implemented in a kitchen environment to help create shopping lists based on the food being consumed. By identifying the types of food on the dishware, it can give a more accurate analysis of what items need to be replaced.
Restaurant Menu Helper: In the restaurant industry, this model can be used to digitally display or identify what's actually been served on the plate, aiding in menu clarification and understanding for customers, especially those with dietary restrictions.
Food Waste Monitoring: This model could be used by waste management or environmental agencies to track and analyze food wastage. By identifying what food is being thrown away most frequently, strategies could be implemented to reduce overall waste.
Cooking and Baking Assistance Application: The model can assist beginner cooks by tracking the cooking process, offering suggestions, or corrections by identifying what the food on the plate should resemble at each stage.

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{
                            foodsnap_data_dataset,
                            title = { foodsnap_data Dataset },
                            type = { Open Source Dataset },
                            author = { FoodSnap },
                            howpublished = { \url{ https://universe.roboflow.com/foodsnap/foodsnap_data } },
                            url = { https://universe.roboflow.com/foodsnap/foodsnap_data },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-04-25 },
                            }