MosqVision-3K: A Balanced Multi-Source Dataset of 3,000 Annotated Images for Culex, Anopheles, and Aedes Mosquito Species Classification

Comprehensive Mosquito Species Image Dataset for Machine Learning
Description:
This dataset is a meticulously curated collection of high-quality images featuring three major mosquito species: Culex, Anopheles, and Aedes. These species are significant vectors for transmitting vector-borne diseases such as malaria, dengue, and Zika. The dataset has been compiled to support research and development in entomology, vector-borne disease control, and image recognition.
With 3,000 images in total, the dataset is structured to ensure a balanced representation of the three species, each having 1,000 images. Images were sourced from four reputable platforms, including MosquitoAlert.com, Mendeley Data, IEEE DataPort, and the Dryad Digital Repository. These sources ensure a comprehensive and diverse representation of mosquito appearances, including variations in morphology, lighting conditions, and orientations.

The dataset is organized into directories for each species, making it easy to integrate into machine learning workflows for tasks like species identification and classification. The collection also includes metadata and annotations to enhance usability.

Key Features:

• Species Represented:
  • Culex
  • Anopheles
  • Aedes
• Total Images: 3,000 (1,000 images per species)
• Image Sources:
  • MosquitoAlert.com (1,234 images)
  • Mendeley Data (876 images)
  • IEEE DataPort (748 images)
  • Dryad Digital Repository (600 images)

- Image Annotations: Metadata and species labels are included for enhanced usability.

Applications:
This dataset is ideal for a variety of applications, including:

• Training machine learning models for mosquito species identification.
• Developing computer vision algorithms for pest control and public health.

- Enhancing vector control strategies to mitigate disease spread.

Data Structure:
The dataset is organized as follows:

Mosquito_Dataset/  
├── Anopheles/  
│   ├── img_001.jpg  
│   ├── img_002.jpg  
│   └── ...  
├── Aedes/  
│   ├── img_001.jpg  
│   ├── img_002.jpg  
│   └── ...  
└── Culex/  
   ├── img_001.jpg  
   ├── img_002.jpg  
   └── ...  

Acknowledgments:
We acknowledge the following data sources for their contributions:

• MosquitoAlert.com
• Mendeley Data
• IEEE DataPort
•  Dryad Digital Repository