Check on Kaggle:- https://www.kaggle.com/miracle9to9/detecting-malaria-keras-cnn
Dataset Link:- https://www.kaggle.com/miracle9to9/files1
The dataset contains 2 folders - Infected and Uninfected with Training and Testing.
Building an deep learning model to recognise cell images as Infected/Uninfected, Binary classification task. As a deep learning model I used convolution neural network as they perform great in fetching important information from images.
This Dataset is taken from the official NIH Website: https://ceb.nlm.nih.gov/repositories/malaria-datasets/ And uploaded here, so anybody trying to start working with this dataset can get started immediately, as to download the dataset from NIH website is quite slow.
Datasets for Training and Testing you will get on www.kaggle.com/dataset/aa9f1bfebef540839f22863cbd9f6222a380916faa1b5bc59b428b3b409640bd
Photo by Егор Камелев on Unsplash https://unsplash.com/@ekamelev
Save humans by detecting and deploying Image Cells that contain Malaria or not!