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+*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) ![BloodImage_00002_jpg rf 3f628ac8c9a3cccac2926e36a29d7eb5](https://user-images.githubusercontent.com/56868253/135814546-a95dd88c-f785-4154-a74d-13c3e494e61f.jpg)
+2) ![BloodImage_00009_jpg rf 021700395b3abd494873446f52e302fd](https://user-images.githubusercontent.com/56868253/135814617-da166eb2-90ef-46a3-9fe4-4d5d6e196df6.jpg)
+
+
+
+
+
+# Happy learning ML !