SYKE-plankton_CytoSense_2025

The SYKE‑plankton_CytoSense_2025 dataset comprises multimodal plankton imaging data collected using a CytoSense instrument under three distinct acquisition settings: LAB, SEA, and UTO. Each sample consists of an image and a corresponding profile file. Depending on the subset, class labels may or may not be available. If you use the SYKE‑plankton_CytoSense_2025 dataset in your research, please cite the following paper: J. Kareinen, V. Immonen, T. Eerola, L. Haraguchi, L. Lensu, K. Kraft, S. Suikkanen, H. Kälviäinen, Cross-modal learning for plankton recognition, International Conference on Pattern Recognition (ICPR), 2026. arXiv preprint: https://arxiv.org/abs/2603.16427 The dataset is divided into three subsets: - LAB: A fully labeled multimodal dataset collected in a controlled laboratory environment. - SEA: A fully labeled multimodal dataset collected in a real‑world marine environment. - UTO: An unlabeled multimodal dataset intended for unsupervised or self‑supervised learning. For details on data acquisition, preprocessing, and baseline experiments, please refer to the paper cited above.