Why should incremental refresh be turned on in a labeling project?

Turning on incremental refresh in a labeling project is particularly advantageous for accommodating frequent image updates. This process allows the data pipeline to handle new or modified data without needing to reprocess the entire dataset every time an update occurs. For example, if images are continuously being added or revised—such as in a project that involves ongoing image collection—an incremental refresh ensures that only the newly added or changed images are labeled rather than the whole dataset. This not only streamlines the workflow but also enhances efficiency, as it reduces the computational load and time required for the labeling tasks.

In contrast, minimizing storage use, maintaining data consistency, or speeding up the labeling process don't align as directly with the specific functionality of incremental refresh. While these aspects are important in data management and processing, they are secondary benefits when the primary aim of incremental refresh is to efficiently integrate new data into a project that requires continuous updates, especially in environments like image labeling, where data is inherently dynamic.