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| | license: mit
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| | ---
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| | # Egg Instance Segmentation
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| | This is a dataset with images of eggs that can be used for egg segmentation purposes. The dataset is divided into two classes: white-egg and brown-egg. This is YOLO format dataset.
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| | The training and validation images are in the train and val folders respectively.
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| | The polygon annotations specifying the exact boundaries of eggs are in the related labels folders.
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| | ## Goal
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| | This dataset is collected to train a YOLO model to segment different types of eggs (right now the white and brown eggs data are available).
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| | A model is trained on this dataset to segments eggs in images.
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| | This model can also be used for estimating the sizes of the eggs for quality assessment or sorting purposes in factories.
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| | ## Sample Images
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| | As an example, the following image is from the dataset. The image is annotated with polygons around the eggs.
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| | <p align="center">
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| | <img width="800" height="800" src="./data/images/train/sample22.jpg" alt="Egg sample">
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| | </p>
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| | ## How to Use
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| | In order to use the dataset for training purposes, one can download the dataset at first and then change the `path`
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| | in the `data.yaml` file to the absolute path where the data is stored. The `data.yaml` file is in the `data` folder.
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| | ## License
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| | This dataset is licensed under the MIT License. You can use this dataset for any purpose. |
