PeripheralBloodSmear Computer Vision Project
This is a computer vision model intended to identify the white blood cells, especially blasts, in a peripheral blood smear/film. The goal is to deploy it in a way that anyone can easily check if there are blasts, then confidently refer the slide to the pathologist. Most images were taken using a Raspberry Pi HQ camera. Additional images from the Roboflow universe datasets are being added for robustness.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
YOLOv8
This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
peripheralbloodsmear_dataset,
title = { PeripheralBloodSmear Dataset },
type = { Open Source Dataset },
author = { NoliLab },
howpublished = { \url{ https://universe.roboflow.com/nolilab/peripheralbloodsmear } },
url = { https://universe.roboflow.com/nolilab/peripheralbloodsmear },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jan },
note = { visited on 2024-05-05 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the PeripheralBloodSmear project in your project.
Source
Last Updated
3 months ago
Project Type
Object Detection
Subject
Bloodcells
Views: 311
Downloads: 25
