Egg Segmentation in Poultry Industry Based on Color Object Detection Dataset and Pre-Trained Model by Teja

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Explore Dataset

Here are a few use cases for this project:

Poultry Inventory Management: This model can be used in the poultry industry to automatically categorize eggs by color, facilitating efficient inventory management by tracking the quantity of each egg type in real-time.
Automated Quality Control: This system can assist in spotting abnormalities or unwanted changes in egg color which might indicate health concerns in poultry, hence ensuring quality control and enabling rapid response to possible issues.
Poultry Breeding Programs: In poultry research or breeding programs, knowing the color of eggs produced by certain breeds can be beneficial. This algorithm can provide rapid and accurate color identification to support data collection.
Egg Sorting Machines: This model could be implemented in egg sorting machines to sort eggs by color swiftly and accurately, improving the efficiency of automated egg sorting processes in the poultry industry.
Consumer Preference Studies: Retailers or market researchers can use this model to conduct studies on consumer preferences in relation to egg color, supporting the development of targeted marketing strategies.

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-segmentation-in-poultry-industry-based-on-color-fnnxb_dataset,
                            title = { Egg Segmentation in Poultry Industry Based on Color Dataset },
                            type = { Open Source Dataset },
                            author = { Teja },
                            howpublished = { \url{ https://universe.roboflow.com/teja-ayqee/egg-segmentation-in-poultry-industry-based-on-color-fnnxb } },
                            url = { https://universe.roboflow.com/teja-ayqee/egg-segmentation-in-poultry-industry-based-on-color-fnnxb },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-29 },
                            }