Nerds Candies Detection Object Detection Dataset and Pre-Trained Model by Laguna State Polytechnic University SCC

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Explore Dataset

Here are a few use cases for this project:

Quality Control in Production: The model can be used in Nerds Candies' manufacturing process to assure the quality of the candies by confirming the proper color distribution in each package. This can help automate the quality assurance process.
Interactive Games and Apps: Create interactive games or mobile applications where users can "collect" Nerds candies in the real world by pointing their smartphone camera at corresponding candy colors.
Retail Inventory Management: Shops can use it to manage their inventory of Nerds Candies, where the model scans shelves and counts each color of Nerds Candy, aiding in accurate counting and restocking decisions.
Dietary Tracking: The model can help dietary apps users to quickly estimate the amount of Nerds Candies they consume, by scanning their food and differentiating the color-coded candies.
Color Mixing Education: The model can be utilized in educational settings to explain color combinations and color mixing by identifying and using the different colors of Nerds Candies as a hands-on learning tool.

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{
                            nerds-candies-detection_dataset,
                            title = { Nerds Candies Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Laguna State Polytechnic University  SCC },
                            howpublished = { \url{ https://universe.roboflow.com/laguna-state-polytechnic-university-scc/nerds-candies-detection } },
                            url = { https://universe.roboflow.com/laguna-state-polytechnic-university-scc/nerds-candies-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-12 },
                            }