Update on version 1.1 This framework can also be used to calibrate object detection models. It has recently been shown that calibration on object detection also depends on the position and/or scale of ...

A critical mission for mobile robot vision is to detect and classify different objects with low power consumption. In this brief, a multi-class object detection coprocessor is proposed by using the ...

This paper demonstrates that the structure of a class diagram reflects the cognitive structure of English based on cognitive linguistics. Native English speaking students of software engineering are ...

Learn how to use scenarios and use cases to identify classes and objects in object-oriented analysis and design (OOAD), a methodology for modeling complex systems.

mAP (mean Average Precision) This code will evaluate the performance of your neural net for object recognition. In practice, a higher mAP value indicates a better performance of your neural net, given ...