Egg Quality Grading Computer Vision Project

VartikaRaj

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Description

The Egg Quality Grading System is an OpenCV-based machine learning project designed to assist poultry farms in classifying various types of eggs, including white, brown, blood-stained, dirt-stained, and calcium-deposited eggs. By leveraging CCTV cameras for surveillance, the system automates the detection and classification process, enabling efficient and simultaneous segregation of different egg types. This automation reduces the reliance on manual labor, leading to significant cost savings.

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LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            egg-quality-grading-wlgy5_dataset,
                            title = { Egg Quality Grading Dataset },
                            type = { Open Source Dataset },
                            author = { VartikaRaj },
                            howpublished = { \url{ https://universe.roboflow.com/vartikaraj/egg-quality-grading-wlgy5 } },
                            url = { https://universe.roboflow.com/vartikaraj/egg-quality-grading-wlgy5 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { aug },
                            note = { visited on 2024-09-21 },
                            }