The project will need to distinguish between long- and short-term motivation

创建带标签的数据集对用户提出了认知需求，并且考虑到数据的大小，所涉及的工作可能会令人望而却步。这与大数据量、标记许多图像的长时间集中、图像解释的困难、过程的重复性以及其他因素有关。因此，该项目通过减少所需的整体人工标记工作量以及任何人工标记的认知需求来直接满足用户的需求。为了减少标签工作量和认知负荷，我们的目标是建立尽可能多的自动化标签的方法，并在需要手动标签的情况下协助贴标机。

Creating a labelled dataset places a cognitive demand on the user and the effort involved may be prohibitive given the size of the data. This is in relation to large data volumes, the long periods of concentration to label many images, difficulty around image interpretation, the repetitive nature of the process amongst other factors. Therefore, this project directly addresses the need of users by reducing the overall human-labelling workload required, and cognitive demand of any human-labelling that does take place. To reduce the labelling workload and cognitive load, we aim to build methodologies to automate as much of the labelling as possible and assist the labeller should manual labels be required.