Omkar2118/datasets huggingface dataset:
Blood Cell Detection Dataset

## 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`.

Except for GitHub, this dataset is also published on [Kaggle](https://www.kaggle.com/datasets/adhoppin/blood-cell-detection-datatset).