This week, we fine-tuned our machine-learning model and our housing design. Our model achieved an average precision (AP) score of around 50%, which is on the order of the AP scores of other top-quality models! We are still fine-tuning the parameters to see if a slightly better AP score can be achieved. However, as is, the model is very capable of detecting invasive insects with decent accuracy. We also wrote a program to concatenate images with detected insects with the original image. The image below is an example of this feature: the left one shows a successfully detected Caribbean Fruit Fly and the right one shows the original image.