血细胞检测数据集yolo格式

*License: MIT* # Overview This is a dataset of blood cells photos. There are 364 images across three classes: `WBC` (white blood cells), `RBC` (red blood cells), and `Platelets`. There are 4888 labels across 3 classes (and 0 null examples). *`Fork`* this dataset (upper right hand corner) to receive the raw images, or (to save space) grab the 500x500 export. # Use Cases This is a small scale object detection dataset, commonly used to assess model performance. It's a first example of medical imaging capabilities. This dataset is mainly preprocessed for YOLOV5 Application # Using this Dataset I'm releasing the data as public domain. Feel free to use it for any purpose. `This dataset is already splitted into train,testing and validation datasets(70% for training , 20% testing and 10% for validation).` The train,testing and validation folders are further classified as `IMAGES AND LABELS.` * `images` Folder : It contains images of blood cells. * `labels` Folder : It conatins labelling of blood cells across three classes: `WBC` (white blood cells), `RBC` (red blood cells), and `Platelets`.. Example of blood cell: 1)  2)  # Happy learning ML !