MODEL TUNING BY DATA EXPLORATION
Now that we have a model it would be good to look at the images that might be causing the model to be less accurate. Maybe in the process of inputting your data, there might have been some leakage of data that you do not necessarily want to be used in training your dataset. The first step is to draw a confusion matrix of the species to see the map of the true positives and true negatives and understand which species are making your model less accurate \cite{Ting2017}.