The tutorial is the workflow from labeling objects (using vott), building a object detection model in tensorflow ... In TF_ObjectDetection_Flow, the directionary raw/origindata conserves the example ...

Abstract: This paper describes a diagramming methodology, referred to as an Object Flow Diagram (OFD), that is intended to be a key component in the conceptual design of a discrete-event simulation ...

But how do you measure and communicate the accuracy of your object detection model to your stakeholders ... To communicate mAP, you can use a table or a chart that shows the mAP values for ...

on the flow of shapes and connectors it uses unsharp masking and a model that is called Faster R-CNN with backbone VGG-16, which is an object detection model. In order to augment the precision of the ...

Abstract: This paper describes a diagramming methodology, referred to as an Object Flow Diagram (OFD), that is intended to be a key component in the conceptual design of a discrete-event simulation ...