Example datasets for BluVision Haustoria

Supplementary Data Protocol This supplementary dataset includes all files necessary to reproduce and evaluate the training and validation of YOLOv8 and CNN models for detecting GUS-stained and haustoria-containing cells with the BluVision Haustoria software. 1. gus_training_set_yolo/- Contains the complete YOLOv8-compatible training dataset for GUS classification.- Format: PyTorch YOLOv5/8 structure from Roboflow export.- Subfolders: - train/, test/, val/: Image sets and corresponding label files. - data.yaml: Configuration file specifying dataset structure and classes. 2. haustoria_training_set_yolo/- Contains the complete YOLOv8-compatible training dataset for haustoria detection.- Format identical to gus_training_set_yolo/. 3. haustoria_training_set_cnn/- Dataset formatted for CNN-based classification.- Structure: - gus/: Images of cells without haustoria. - hau/: Images of cells with haustoria.- Suitable for binary classification pipelines (e.g., Keras, PyTorch). 4. yolo_models/- Directory containing the final trained YOLOv8 model weights.- Includes: - gus.pt: YOLOv8 model trained on GUS data. - haustoria.pt: YOLOv8 model trained on haustoria data.