A small set of 100 images can significantly enhance data collection strategies by enabling targeted identification of additional image needs. Through zero-shot learning and clustering, it's possible to pinpoint specific conditions and types of images required, optimizing both the time and resources spent on data gathering. This approach not only reduces labeling costs but also streamlines the entire data collection process, making it more efficient and effective.
