Open Access Datasets

This is a collection of open-access datasets, as reported by the researchers. These datasets are freely available for anyone to use.

Datasets

• Davidson et. al., 2021 Image Dataset - It is a thin, Giemsa-stained blood smear image dataset with 108 images.

• National Institute of Health Plasmodium falciparum Dataset - It is a thin and thick, Giemsa-stained blood smear image dataset.

• Fong Amaris et al., 2022 Image Dataset - It is a thick, Modified-Romanowsky stained dataset that contains 420 images.

• Yu et al., 2023 Image Dataset - It is a thick and thin, Giemsa-stained blood smear image dataset.

• Quinn et al., 2014 Image Dataset - It is a thick, Field-stained blood smear image dataset

• Nakasi et al., 2021 Image Dataset - It is a thick, Field-stained blood smear image dataset.

• National Institute of Health Plasmodium vivax Dataset - It is a thick, Giemsa-stained, blood smear image dataset.

• Manescu et al., 2020 Image Dataset - It is a thick, Giemsa-stained blood smear image dataset.

• Broad Bioimage Benchmark Collection - It is a thin, Giemsa-stained blood smear image dataset containing Plasmodium vivax.

• Delgado-Ortet et al., 2020 Image Dataset - It is a thin blood smear, MGG-stained image dataset.

• Linder et al., 2014 Image Dataset - This is a thin, Giemsa-stained blood smear image dataset.

• MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis - It is a thin blood smear, Giemsa-stained image dataset. It contains Plasmodium falciparum, Plasmodium ovale, Plasmodium vivax and Plasmodium malariae.

• SmartMalariaNet Image Dataset - It is a thin, Giemsa-stained blood smear image dataset.

• Taiwan Images for Malaria Eradication (TIME) - It is a thin, Giemsa-stained malaria image dataset.

• PlasmoID Image Dataset - This is a thin, blood smear image dataset

• Pathology Education Informational Resource (PEIR) Digital Library - It is a thin blood smear whole slide image dataset.

• Kanakasabapathy et al., 2021 Image Dataset - This is a thin, Giemsa-stained blood smear image dataset.

• Shaka et al., 2020 Image Dataset - It is a thick, Giemsa-stained blood smear image dataset.

• Lacuna Malaria Detection Challenge Image Dataset - It is the dataset that was generated for the challenge.

• Muhammad et al., 2025 Image Dataset - It is a thin, Giemsa-stained blood smear image dataset.

• Adebayo et al., 2024 Image Dataset - It is a thick and thin, Giemsa-stained blood smear image dataset.

• Microscopic Images of Parasites Species - This parasite data set consists of 843 Plasmodium under a 400x microscope.

• Fundação Oswaldo Cruz (FIOCRUZ) Image Dataset - This is a thin, Giemsa-stained blood smear image dataset.