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 ...

Most people are familiar with the idea that machine learning can be used to detect things like objects or people, but for anyone who’s not clear on how that process actually works should check ...

Their new research focuses on automated detection of landmines using convolutional neural networks, the standard machine learning method for object detection and classification in the field of ...

Some of the most common applications of machine learning in computer vision include image classification, object detection, and segmentation. Image classification determines whether a certain type ...

Azure Cognitive Services enters a new AI area Fortunately, the first new cognitive service to explore other aspects of machine learning entered beta recently: adding anomaly detection to the roster.

Supported by the hyper scale of the Amazon Web Services (AWS) cloud, this robust dataset enables the patented SpotlightAI™ ecosystem to rapidly detect ... advanced machine learning (ML) models ...