afshin-dini/Egg-Detection
Object Detection
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Egg detection dataset
This is a dataset with images of eggs. The dataset is divided into two classes: white-egg and brown-egg.
This is YOLOV5 format dataset. The training and validation images are in the train and val folders respectively.
The bounding box annotations are in the related labels folders.
Goal
This dataset is collected to train a YOLOV5 model to detect different types of eggs (right now the white and brown eggs data are available). A model is trained on this dataset to detect eggs in images. The model can also be used for counting purposes specifically in factories where the number of eggs in each box is important.
Sample Images
As an example, the following image is from the dataset. The image is annotated with bounding boxes around the eggs.
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.
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