But most machine learning researchers and developers use one of several tried and tested convolutional neural networks such as AlexNet, VGG16, and ResNet-50. Object-detection networks need to be ...

Object detection is a supervised machine learning problem, which means you must train your models on labeled examples. Each image in the training dataset must be accompanied with a file that ...

AI everywhere, but optimized for different applications Object detection using machine vision requires an AI model ... Thomas Andersen, vice president for AI and machine learning at Synopsys, said ...

A new machine learning technique developed by ... she developed a startup to prevent scams and fraud using technology on June 19. Object detection models are much more complex than image ...

Microsoft improved the object detection capabilities of its ML.NET machine learning framework for .NET developers, adding the ability to train custom models with Model Builder in Visual Studio. ML.NET ...

Rationalization: the conclusion that the gains from committing fraud outweigh the possibility of detection ... Analysis techniques using machine learning can look at data that is being updated ...

Scientists have recently detailed how automation and machine learning can aid ... team found the algorithm could detect many SD events that were not identified using human scoring, likely due ...