Col-Ovo

Detection Method

Col-Ovo uses YOLOv8, a convolutional neural network trained specifically to identify Aedes aegypti eggs in ovitrap images.

Tile Processing

The image is divided into 250x250 pixel segments to maintain high resolution when detecting small objects like mosquito eggs.

Accuracy

The model is optimized for real field conditions, although performance may vary based on image quality and lighting conditions.

Heatmap

The heatmap shows detection density using a Gaussian distribution, allowing identification of areas with higher egg concentration.

Click to upload or drag and drop PNG, JPG up to 10MB

Or try these example images:

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Select the Area of Interest

Use the frame to focus the analysis on the most relevant area

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Analyzing image... Detecting eggs with AI

0 Eggs Detected

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