Ashwin: Plug-and-Play System for Machine-Human Image Annotation

This system addresses the need for efficient and adaptable image annotation workflows, but it appears incremental as it combines existing components into a modular design without introducing new methods.

The authors tackled the problem of machine-human image annotation by developing an end-to-end system with plug-and-play components, resulting in a flexible framework that integrates feature extraction, machine classification, task sampling, and crowd consensus.