The goal is to create a model which is able to classify whether a blood smear is uninfected or parasitized.
- Github @JM_Rono
- Linked_in @John Michael Rono
A Data
B Machine learning
C Deploying
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.
- Check-out notebook: @notebook
The model had an Accuracy score of score of 98
- Deployed at: https://zlrrpftijem4mdbqpfu7kw.streamlit.app/
- Upload an Image of the blood sample