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README.md

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

data/data.yaml

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+train: images/train
+val: images/val
+names:
+  0: White-Egg
+  1: Brown-Egg
+path: /mnt/d/projects/Deep-Egg-Segmentation-and-Sizing/src/egg_segmentation_size/data