Image recognition is performed by feeding an image into a neural network and getting the output some kind of label for that image. The label that the network outputs will correspond to a pre-defined ...

python flower_recognition.py This will execute the code and train the neural network model for flower recognition. The training progress and results will be displayed in the console and as plots using ...

One of the most powerful techniques for image recognition is using convolutional neural networks, or CNNs. In this article, you'll learn what CNNs are, how they work, and why they are so effective ...

"We, on the other hand, integrate the neural network with its artificial intelligence directly into the hardware of the image sensor. This makes object recognition many orders of magnitude faster." ...

Experimental results show that the convolutional neural network algorithm proposed in this paper can learn the diverse features of the image, and improve the accuracy of feature extraction and image ...

by simple using a colored photo held near the torso of a man can render him invisible to image recognition systems based on convolutional neural networks. Convolutional Neural Networks or CNNs are ...

The main objective of the present work is to provide a new approach for image recognition using Artificial Neural Networks. Initially an original gray scale intensity image has been taken for ...