ReciPic Object Detection Dataset and Pre-Trained Model by ICAKE

Images

956 images

Explore Dataset

Here are a few use cases for this project:

Grocery Inventory Management: ReciPic can be used to automatically recognize and track inventory in grocery stores or warehouses, streamlining the process of stocking and restocking shelves while reducing manual monitoring efforts.
Smart Shopping List App: A mobile app using ReciPic can help users create their shopping lists by scanning fridge and pantry items, identifying when particular ingredients are running low or missing, and suggesting recipes based on current stock.
Diet and Nutrition Tracking: ReciPic can be integrated into diet and wellness apps to help users track their food consumption by identifying ingredients on their plates or in their daily meals, enabling more accurate meal logging and nutrition analysis.
Cooking Assistance and Recipe Discovery: ReciPic can be used in cooking applications to identify ingredients and suggest recipes based on user preferences, dietary restrictions, or regional cuisine, making it easier to discover new dishes based on available ingredients.
Agricultural Sorting and Quality Control: In agricultural settings, ReciPic can be employed to automate the sorting and grading of produce based on visual features and quality. This could increase efficiency and reduce human error in the supply chain process.

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{
                            recipic_dataset,
                            title = { ReciPic Dataset },
                            type = { Open Source Dataset },
                            author = { ICAKE },
                            howpublished = { \url{ https://universe.roboflow.com/icake/recipic } },
                            url = { https://universe.roboflow.com/icake/recipic },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-04-25 },
                            }