This is a proof-of-concept version of our Artificial Intelligence model to classify images of bark and ambrosia beetles. As an input, please use an image of a specimen, or a group of specimens, ideally in ethanol with a white background.
This proof-of-concept model has been trained on 25000 images of 12 species: Coccotypes dactyliperda, Hylesinus varius, Monarthrum fasciatum, Phloeosinus dentatus, Pityophthorus juglandis, Platypus cylindrus, Pycnarthrum hispidium, Scolytodes schwarzi, Xyleborinus saxesenii, Xyleborus affinis, Xylosandrus compactus, and Xylosandrus crassiusculus.
For correct interpretation of the results, it is important to consider not just the suggested name, but also the associated probability. Identification of other species is coming soon, as soon as they are added to the training set.
If you do not have your own beetle images ready, try it with these examples. You can download them here, or open this page with example in a new window, and click and drag the image into the upload box. They contain a mix of species which were used in the model (X. crassiusculus,X. affinis) and some species which were not. (Ambrosiodmus minor,Premnobius cavipennis, Xyleborus ferrugineus and Hypothenemus spp.)
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