Lacuna Malaria Detection Challenge Image Dataset

Description

The dataset was generated for the challenge. The aim is to create a machine learning model that can detect the trophozoite stage of malaria, and differentiate between infected and uninfected blood cells.

Demography

• Country: Uganda

Imaging Technique

• Optical Train: Smartphone appended to a microscope eyepiece
• Number of Images: 3925

Image Preview

Dataset Availability

Status	Dataset Link
Publicly available	Dataset