fruit-calories Instance Segmentation Dataset and Pre-Trained Model by FruitCaloriesPrediction

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Explore Dataset

Here are a few use cases for this project:

Nutritional Tracking Apps: Integrate the "fruit-calories" model into health and fitness apps to enable users to easily track their fruit consumption and associated calorie intake by simply taking a photo of their fruits.
Inventory Management for Supermarkets and Groceries: Use the "fruit-calories" model for automatically sorting and managing inventory in supermarkets and grocery stores, allowing for better organization, tracking of stock levels, and potentially providing data for pricing optimization.
Augmented Reality Fruit Shopping: Implement the "fruit-calories" model for an augmented reality shopping experience where consumers can point their smartphone cameras at fruits and receive nutritional information, including calorie content, to help them make informed purchases.
Smart Kitchens and IoT Devices: Incorporate the "fruit-calories" model into smart kitchen appliances or IoT devices, enabling them to recognize different fruits and provide users with relevant nutritional data, meal suggestions, and optimal storage recommendations.
Educational Tools for Nutrition and Dietetics: Integrate the "fruit-calories" model into interactive educational platforms on nutrition and dietetics to help students and professionals better understand, visualize, and study fruit classes' caloric content and overall nutritional value.

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{
                            fruit-calories_dataset,
                            title = { fruit-calories Dataset },
                            type = { Open Source Dataset },
                            author = { FruitCaloriesPrediction },
                            howpublished = { \url{ https://universe.roboflow.com/fruitcaloriesprediction/fruit-calories } },
                            url = { https://universe.roboflow.com/fruitcaloriesprediction/fruit-calories },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-05 },
                            }