Candy_detection Object Detection Dataset and Pre-Trained Model by candydetection

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Explore Dataset

Here are a few use cases for this project:

Candy Inventory Management: Shops or businesses dealing with candies can use this model to automatically identify and track their candy inventory, helping them resupply certain candy types when they run low.
Automated Checkout Systems: In supermarkets or retail stores, this model could be integrated into automatic checkout systems to identify specific types of candies, eliminating the need for manual input and expediting the checkout process.
Nutritional Information Extraction: The model can be employed to help users quickly identify the kind of candy in a serving, allowing them to look up its nutritional information, calorie count, and ingredient list online.
Candy Sorting Machinery: The computer vision model can be leveraged in factories for automatic sorting of candies in the production line, saving time and reducing human error.
Interactive Education Apps: The model can be incorporated into children's educational apps to teach them about different types of candies - when scanned, the app would tell the child the candy's name, perhaps in a game-based learning format.

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{
                            candy_detection_dataset,
                            title = { Candy_detection Dataset },
                            type = { Open Source Dataset },
                            author = { candydetection },
                            howpublished = { \url{ https://universe.roboflow.com/candydetection/candy_detection } },
                            url = { https://universe.roboflow.com/candydetection/candy_detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-06-26 },
                            }