DECIMER Image Classifier is based on the EfficientNet-V1-B0 model and was fine-tuned using 10,905,114 images, validated on 2,179,798 images, and tested on 544,946 images. The images were split randomly. With a batch size of 650 and five augmentations (vertical and horizontal flips, rotations, contrasts, and zooms), the whole training and validation process took about 52 hours and 15 minutes using a Tesla V100-PCI-E-32GB GPU.