Tree trunk image classifier : Image classification of trees using Collaboratory, Keras and TensorFlow

University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

Abstract: In the forestry industry tree trunks are currently classified manually. The object of this thesis is to answer whether it is possible to automate this using modern computer hardware and image-classification of tree-trunks using machine learning algorithms. The report concludes, based on results from controlled experiments that it is possible to achieve an accuracy above 90% across the genuses Birch, Pine and Spruce with a classification-time per tree shorter than 500 milli seconds. The report further compares these results against previous research and concludes that better results are probable.

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