TruEyes

TruEyes是由德国慕尼黑工业大学数字技术与管理研究中心创建的一个协作式众包系统，旨在通过移动应用用户的小任务分配来标记机器学习数据集。该数据集包含50张图像，用于评估系统的性能。TruEyes系统允许机器学习实践者发布标记任务，移动应用开发者集成任务广告以实现货币化，用户则通过标记数据而非观看广告来参与。该数据集的应用领域主要集中在解决机器学习模型训练和评估中的数据标记问题，旨在提高标记质量和用户参与度。TruEyes is a collaborative crowdsourcing system developed by the Research Center for Digital Technology and Management at the Technical University of Munich (TUM). It is designed to annotate machine learning datasets by distributing micro-tasks to mobile application users. This dataset consists of 50 images, which is used to evaluate the performance of the TruEyes system. The TruEyes system enables machine learning practitioners to publish annotation tasks, mobile app developers to integrate task-based advertisements for monetization, and users to participate by annotating data instead of watching advertisements. The application scenarios of this dataset mainly focus on addressing data annotation challenges in the training and evaluation of machine learning models, with the goal of enhancing annotation quality and user engagement.