The multi-agent ranking framework (MARK) aims to provide all the building blocks that are required to build large scale detection and ranking systems. Namely, the framework provides the following key components:
All these components are implemented in a generic way. They are independent of the type of data that will be processed by the framework. This allows the data scientist to focus on his core business: developing effective detection algorithms.