Egg Segregation Object Detection Dataset and Pre-Trained Model by GRIET

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Explore Dataset

Here are a few use cases for this project:

Poultry Farm Sorting: The 'Egg Segregation' model can be used in poultry farms to automate the process of sorting eggs based on their colors and other factors. This can enhance efficiency and reduce manual labor, all while ensuring higher accuracy.
Food Manufacturing and Retail: Companies that process and sell eggs can use this model to automate their quality control process, ensuring that only the highest quality eggs (free from noise) are packaged and sold to customers.
Animal Research Studies: The model can be used by researchers and scientists studying bird variations and their egg-laying patterns. Ability to classify eggs can prove very helpful in their study.
Egg Production Line: This model can be used in production lines to segregate between regular and 'noise' eggs, helping to minimize mistakes in packaging and increasing overall productivity.
Sustainability Initiatives: Organizations aimed at reducing food waste can utilize this computer vision model to segregate and classify 'noise' eggs for recycling purposes or secondary uses, contributing to sustainability efforts.

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{
                            egg-segregation-icdya_dataset,
                            title = { Egg Segregation Dataset },
                            type = { Open Source Dataset },
                            author = { GRIET },
                            howpublished = { \url{ https://universe.roboflow.com/griet-k8cgi/egg-segregation-icdya } },
                            url = { https://universe.roboflow.com/griet-k8cgi/egg-segregation-icdya },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-28 },
                            }