DiversityScanner training and test insect images

The dataset contains the images used in training, validating and testing the CNN used in the DiversityScanner robot. We subsequently used our own images with the detailed camera for the training image data set. We used 5 Malaise trap samples from 3 different locations in Germany near the small towns and villages of Rastatt, Kitzing and Framersbach and 145 3 from the Province of L’Aquila, Italy: Valle di Teve and Foresta Demaniale Chiarano-Sparvera. Thus, a mix of own images from different Malaise trap samples was used. The images for our target taxa were not equally distributed but reflected the abundances of each taxon in the Malaise trap samples. [11]. In total 4.325 color images in 15 classes were used for training, while 1.115 images were used for testing. Photos were taken with a Ximea MQ013CG-E2 camera with a telecentric Lensation TCST-10-40 lens with a magnification of 1x.