An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning ... on deception ...

Getting computers to recognize objects has been a historically difficult problem in computer science, but with the rise of machine learning it is becoming easier to solve. One of the tools that can… ...

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.

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

The SpotlightAI™ software ecosystem utilizes advanced machine learning (ML) models for small object detection and data reporting built on an extensive proprietary dataset capable of rapidly ...

Some of the most common applications of machine learning in computer vision include image classification, object detection, and segmentation.

Understanding defect dynamics and evolution in high entropy alloys (HEAs) s is complicated due to the wide and intricate configurational space in HEAs. Machine learning techniques have significant ...