论文标题
TMIC：APP Inventor扩展程序用于部署图像分类模型的部署模型
TMIC: App Inventor Extension for the Deployment of Image Classification Models Exported from Teachable Machine
论文作者
论文摘要
TMIC是一种应用程序发明家扩展，用于部署ML模型，以在教育环境中使用Google Tochable Machine开发的图像分类。 Google Thotable Machine是一种直观的视觉工具，可为开发用于图像分类的ML模型提供面向工作流的支持。旨在使用Google Tochable Machine开发的模型的使用，扩展TMIC可以作为App Inventor的一部分，以TensorFlow.js为tensorflow.js导出的受过训练的模型，这是基于块的基于块的编程环境之一，用于教学计算机中的K-112中的计算。扩展程序是根据App Inventor扩展框架创建的，该框架基于扩展图片，可根据BSD 3许可证获得。它可用于在K-12中，在高等教育的入门课程中或有兴趣创建具有图像分类的智能应用程序的任何人。该扩展TMIC是由联邦圣卡塔琳娜大学/巴西联邦大学信息学和统计系的InitiativeComputaçãoNaEscola开发的，这是旨在在K-12中引入AI教育的研究工作的一部分。
TMIC is an App Inventor extension for the deployment of ML models for image classification developed with Google Teachable Machine in educational settings. Google Teachable Machine, is an intuitive visual tool that provides workflow-oriented support for the development of ML models for image classification. Aiming at the usage of models developed with Google Teachable Machine, the extension TMIC enables the deployment of the trained models exported as TensorFlow.js to Google Cloud as part of App Inventor, one of the most popular block-based programming environments for teaching computing in K-12. The extension was created with the App Inventor extension framework based on the extension PIC and is available under the BSD 3 license. It can be used for teaching ML in K-12, in introductory courses in higher education or by anyone interested in creating intelligent apps with image classification. The extension TMIC is being developed by the initiative Computação na Escola of the Department of Informatics and Statistics at the Federal University of Santa Catarina/Brazil as part of a research effort aiming at introducing AI education in K-12.
