MosquitoFusion Dataset

MosquitoFusion Dataset

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MosquitoFusion Dataset

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MosquitoFusion Dataset

Use Case

MosquitoFusion

Description

Discover MosquitoFusion, a comprehensive dataset of 1,204 meticulously curated images for detecting mosquitoes, swarms, and breeding sites.

MosquitoFusion Dataset

Description:

The MosquitoFusion dataset is a meticulously curated collection of 1,204 images designed to enhance real-time mosquito detection models. It is divided into training (87%), validation (8%), and test sets (5%), ensuring a comprehensive approach to model development.

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Preprocessing

  • Standardization: Images are auto-oriented and resized to 640×640 pixels.
  • Annotation Integrity: All images contain relevant annotations, adhering to a strict filter null criterion.

Augmentation

  • Techniques Used: Flips, rotations, crops, and grayscale applications.
  • Purpose: To enhance dataset diversity, promoting robust model training.

The dataset includes a wide variety of scenarios, capturing mosquitoes in different environments and conditions. This ensures the models trained on it are well-rounded and effective in diverse real-world applications. By providing high-quality, annotated images, MosquitoFusion stands as a vital resource for researchers and developers aiming to improve mosquito detection technologies, which are crucial for public health and disease control.

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Quality Data Creation

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ISO 9001:2015, ISO/IEC 27001:2013 Certified

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HIPAA Compliance

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GDPR Compliance

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