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Egg Segmentation in Poultry Industry Based on Color

Object Detection

7.9k images

Egg Segmentation in Poultry Industry Based on Color Computer Vision Project

Teja

Updated 2 years ago

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Metrics

mAP is equal to the average of the Average Precision metric across all classes in a model. Learn more

mAP

85.9%

Precision measures how often your model's predictions are correct. Learn more

Precision

86.1%

Recall measures what percentage of relevant labels were successfully identified. Learn more

Recall

84.2%

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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:

                        
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@misc{
                            egg-segmentation-in-poultry-industry-based-on-color-l5xk8_dataset,
                            title = { Egg Segmentation in Poultry Industry Based on Color Dataset },
                            type = { Open Source Dataset },
                            author = { Teja },
                            howpublished = { \url{ https://universe.roboflow.com/teja-qxy0r/egg-segmentation-in-poultry-industry-based-on-color-l5xk8 } },
                            url = { https://universe.roboflow.com/teja-qxy0r/egg-segmentation-in-poultry-industry-based-on-color-l5xk8 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2025-03-21 },
                            }