Varroa mites are a natural predator to honey bees and is one of the biggest pests plaguing the bee keeping community. We trained a Convolutional Neural Network (CNN) to classify bee images as having varroa mites or not as a proof of concept for creating a practical application.
while % Using testing set to assess accuracy%
getting an error
'>=' not supported between instances of 'list' and 'float'
Hi. So I followed your code mostly but I got different accuracy scores for each model. My first two models had the same score and actually outperformed the Brightness model. What could be the reason?
And how can I feed a single image into this trained CNN to predict if it has varroa or not?
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