Juvenile Zebrafish Images In Situ for Re-Identification and Time Series Classification

This dataset contains raw and pre-processed images created for the paper
"Zebrafish identification with deep CNN and ViT architectures using a
rolling training window" by Puchalla et al. The images in this
dataset was used to train machine learning models for minimally invasive
individual juvenile zebrafish identification, as the zebrafish matured
over several weeks. Images were captured in situ using an acrylic aquarium
insert, allowing the fish to remain free-swimming. The images consist of
five zebrafish and were captured on five different days, spanning a total
of 19 days.