Aedes Mosquitos Dataset

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Aedes Mosquitos Dataset

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Aedes Mosquitos

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Aedes Mosquitos

Description

Download the Aedes Mosquitoes Dataset featuring 4,120 high-resolution JPEG images of Aedes aegypti and Aedes albopictus.

Description:

This dataset comprises 4,120 high-quality JPEG images of Aedes mosquitoes, specifically the two major species: Aedes aegypti and Aedes albopictus. These species are globally recognized vectors for transmitting severe diseases, including dengue fever, Zika virus, and chikungunya. The dataset serves as a critical resource for the development of deep learning models aimed at the automatic classification of mosquito species, contributing to more effective disease surveillance and control efforts.

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Dataset Description

Total Images: 4,120
Species: Aedes aegypti, Aedes albopictus
Image Resolution: Varies (High Quality)
Format: JPEG
Labels: Species name per image

Usage

Ideal for research and development of machine learning models, this dataset supports training and validation of deep learning frameworks like convolutional neural networks (CNNs) for mosquito species classification.

Research Context

The Aedes mosquitoes dataset, specifically targeting Aedes aegypti and Aedes albopictus, serves as a crucial resource for advancing research in public health and vector-borne disease control. These two species are notorious vectors of diseases such as dengue, Zika, chikungunya, and yellow fever, making their accurate identification essential for timely intervention and disease mitigation strategies.

The dataset underpinned research titled “Implementation of a Deep Learning Model for Automated Classification of Aedes Aegypti and Aedes Albopictus in Real Time,” which highlights the potential of artificial intelligence and deep learning in automating the classification of these species.