README.dataset.txt

# BCCD > resize-416x416
https://public.roboflow.ai/object-detection/bccd

Provided by [Roboflow](https://roboflow.ai)
License: MIT

# Overview
 
This is a dataset of blood cells photos, originally open sourced by [cosmicad](https://github.com/cosmicad/dataset) and [akshaylambda](https://github.com/akshaylamba/all_CELL_data). 

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).

Here's a class count from Roboflow's Dataset Health Check:

![BCCD health](https://i.imgur.com/BVopW9p.png)

And here's an example image:

![Blood Cell Example](https://i.imgur.com/QwyX2aD.png)

`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.

# Using this Dataset

We're releasing the data as public domain. Feel free to use it for any purpose.

It's not required to provide attribution, but it'd be nice! :)

# About Roboflow

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Developers reduce 50% of their boilerplate code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility.

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