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.本数据集源自题为《研究并普及果蔬中果胶、纤维素与膳食纤维含量相关知识（Badanie i upowszechnianie wiedzy o zawartości pektyn, celulozy i błonnika w owocach i warzywach）》的项目，该项目由波兰科学与高等教育部资助，隶属于"科学为社会II（Nauka dla Społeczeństwa II）"计划，资助编号为NdS-II/SP/0258/2023/01。 1. 本数据集包含50种果蔬可食用部位的自制图像，用于开发FibreApp应用的机器学习模型。 2. 本数据集包含基于Image Feature Print V1（适配iOS平台）与EfficientNetB0（适配Android平台）的机器学习模型，以及用于生成EfficientNetB0模型的代码。 3. 本数据集包含用于处理机器学习模型训练所需图像批次的自制Python代码。