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If you have an estimateGenerating training data for visual object detection should be a pretty straight-forward standard problem, classify level of difficulty according and is a good way toget into the description of the CCU project and data structures in the cluster proposal into* Standard problems which just require applying existing methods (Hiwi level)* Elaborate problems which require substantial adaptation or extension framework of existing methods (a Bachelor/Master student level)project.* Special problems which require research of entirely new methods and might lead An elaborate problem is to find a way to integrate the visual detections into the overall tracking pipeline, since this requires to find a paper or two (Phsuitable new algorithmic framework.D. student level)Maybe add a short clarification It is closely related to [[Projects:Improve tracking of what you believe are the main difficulties, individual markers and why you believe marker patterns|this is the right classificationproject]].
→Estimated level of difficulty
== Estimated level of difficulty ==
== Provided data ==
