Tiny Terrors: A Collection of Ticks and Mites

Dataset Contents

Ticks: These small arachnids are known for their role as vectors of various diseases. They attach themselves to hosts to feed on blood.

Mites: Mites are incredibly diverse and can be found in various habitats. Some are free-living, while others are parasitic.

Usage

This dataset is ideal for:

• Machine learning and computer vision projects
• Entomological and acarological studies
• Educational purposes
• Public health research

Data Structure

This dataset contains the following subsets:

• train: This directory contains training images organized into subfolders. Each subfolder represents a class, with the class name as the directory name.
• test: This directory contains testing images organized into subfolders. Each subfolder represents a class, with the class name as the directory name.

Source

The images in this dataset were sourced from insectimages.org, ensuring a rich and diverse collection.

Conclusion

This dataset provides a strong foundation for developing machine learning models for tick and mite classification and detection. It supports applications in public health research, biological studies, and computer vision tasks. With its diverse and well-organized data, it enables accurate and reliable AI-driven solutions.

This dataset is sourced from Kaggle.