ATUMUNMOON/Egg-Instance-Segmentation

--- license: cc-by-nc-4.0 --- # 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 Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0).--- license: cc-by-nc-4.0 --- # 鸡蛋实例分割数据集 本数据集包含各类鸡蛋图像，可用于鸡蛋分割任务。数据集分为两个类别：白壳鸡蛋与棕壳鸡蛋，采用YOLO格式标注。 训练集与验证集图像分别存放于train与val文件夹中。标注鸡蛋精确轮廓的多边形标注文件，则存放在对应标签文件夹内。 ## 任务目标 本数据集旨在训练可分割不同品类鸡蛋的YOLO模型（目前已提供白壳鸡蛋与棕壳鸡蛋的数据）。基于本数据集训练的模型可实现图像中鸡蛋的实例分割，还可用于估算鸡蛋尺寸，以应用于工厂内的鸡蛋品质评估与分级分拣场景。 ## 示例图像 如下示例图像取自本数据集，图中已通过多边形标注勾勒出所有鸡蛋的轮廓。 <p align="center"> <img width="800" height="800" src="./data/images/train/sample22.jpg" alt="鸡蛋示例"> </p> ## 使用方法 若需使用本数据集开展模型训练，可先下载数据集，随后将`data`文件夹内`data.yaml`文件中的`path`字段修改为数据集存放的绝对路径即可。 ## 授权协议 本数据集采用署名-非商业性使用4.0国际协议（Attribution–NonCommercial 4.0 International License，CC BY-NC 4.0）进行授权。