BCCD Computer Vision Dataset
About BCCD Dataset
Overview
This is a dataset of blood cells photos, originally open sourced by cosmicad and akshaylambda.
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:
And here's an example image:
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
Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless.
Developers reduce 50% of their boilerplate code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility.
Use Free Platelets, RBC and WBC Detection API
Powered by general detection model
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "Platelets, RBC, WBC"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Tell the agent what you want to build.
Cite This Project
LicenseMITIf you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ bccd-uiro9_dataset,
title = { BCCD Dataset },
type = { Open Source Dataset },
author = { Roboflow },
howpublished = { \url{ https://universe.roboflow.com/z-tx7qp/bccd-uiro9 } },
url = { https://universe.roboflow.com/z-tx7qp/bccd-uiro9 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { aug },
note = { visited on 2026-07-29 },
}