FibreApp

Dataset was created as a part of the project entitled "Badanie i upowszechnianie wiedzy o zawartości pektyn, celulozy i błonnika w owocach i warzywach", supported by the Minister of Science and Higher Education of Poland as a part of the "Nauka dla Społeczeństwa II" program (grant nr - NdS-II/SP/0258/2023/01). 1. Dataset contains hame-made images of 50 fruit and vegetable species in part used for the preparation of mechine learning models for the FibreApp app.2. Dataset contains Image Feature Print V1-based (iOS) and EfficientNetB0-based (Android) machine learning models, as well as code to generate EfficientNetB0-based model. 3. Dataset contains home-made Python codes for handling image batches for machine learning model training.