Jayem-11 / Malaria

Model which is able to classify whether a blood smear is uninfected or parasitized

Malaria Classification

Description:

The goal is to create a model which is able to classify whether a blood smear is uninfected or parasitized.

Author

• Github @JM_Rono
• Linked_in @John Michael Rono

Table of Contents

A Data
B Machine learning
C Deploying

A. Data

One of the datasets under the Tensorflow Image libraries is a malaria dataset which contains approximately 27,500 cell images of parasitized and uninfected cells from thin blood smear slide images of segmented cells. Using this dataset, we would like you to create a model which is able to classify whether a blood smear is uninfected or parasitized.

B. Machine Learning

• Check-out notebook: @notebook

Evaluation

The model had an Accuracy score of score of 98

C. Deploying

• Deployed at: https://zlrrpftijem4mdbqpfu7kw.streamlit.app/
• Upload an Image of the blood sample

• Hit the Predict button.