Malaria Cell Image Classification

[jeet-Abhi123]

This project's primary objective is to create a deep learning models that can precisely identify whether a cell image contains parasites or is not malarial. A dataset of cell images from thin blood smear slides containing segmented cells will be used to train the model. We will investigate different deep learning architectures to handle this classification task. The precision of the model's forecasts will be the basis for evaluation.

Dataset : https://www.kaggle.com/datasets/iarunava/cell-images-for-detecting-malaria/data

We will use different models like EfficientNetB0, ResNet50, VGG19 etc for the classification.

Please assign me this project under GSSOC'24

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