This repository contains the code that was developed and used for the IKT450 fish classification project.
siamese.py: Code for training and testing the siamese neural networks.
dataset_functions.py: Functions that were used to download, prepare, and analyze the dataset.
create_report_things.py: Create graphs, confusion matrices, etc. for the report.
dataset.csv: The images that were used, and how they were distributed into train/validation/test sets.
data: Contains statistics that were collected during training and testing.
drawio-diagrams: Contains diagrams that were used in the report.