Complete Visualisation, Network Modeling and Training, Web Based Tool, for the Yolo Deep Neural Network Model in the Darknet Framework

This paper presents an interface designed for the Darknet neural network, used by the state of the art YOLO (You Only Look Once) models. The object detection is still representing a challenge in the field of computer vision, and this interface has the main purpose of providing a way to generate more easily new networks, in order to obtain the desired object detection system. Furthermore, through this interface, it can be generated and displayed the feature maps at any point in the network. Therefore, the Darknet interface presented in this paper, leads to a better understanding of how a neural network makes a certain decision regarding the final predictions. And so, newer and better algorithms can be developed, in order to solve the object detection problem.

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