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demoIAZIKA is an AI-powered tool designed for object detection, specifically analyzing images to count and classify mosquito species. It leverages advanced computer vision techniques to provide accurate insights into mosquito populations, making it a valuable resource for public health, entomology research, and disease monitoring.
• Image Analysis: Automatically detects and identifies mosquito species within images.
• Species Classification: Accurately categorizes mosquitoes into their respective species.
• Counting Functionality: Provides a count of mosquitoes in the analyzed image.
• High Accuracy: Utilizes state-of-the-art AI models for precise results.
• Real-Time Processing: Delivers quick analysis for time-sensitive applications.
• User-Friendly Interface: Easy-to-use design for both experts and non-experts.
• Compatibility: Supports various image formats for flexibility.
• Data Export: Allows users to export results for further analysis or reporting.
What types of images does demoIAZIKA support?
demoIAZIKA supports commonly used image formats such as JPG, PNG, and BMP.
How accurate is the mosquito classification?
The accuracy depends on image quality and resolution. Clear, well-lit images typically yield high accuracy rates (90%+).
Can demoIAZIKA handle real-world variations like occlusions?
Yes, the AI is trained to handle minor occlusions and variations, but extremely degraded images may reduce accuracy.
Is user data stored securely?
No, demoIAZIKA does not store images or results. All processing is done locally on your device.
How can I contact support for help?
Visit the official website or use the in-app support feature for assistance.