In fact, most object detection networks use an image classification CNN and repurpose it for object detection. Object detection is a supervised machine learning problem, which means you must train ...

New adversarial techniques developed by engineers can make objects 'invisible' to image detection systems that use deep-learning algorithms. These techniques can also trick systems into thinking ...

Arm Ltd., the U.K. chip intellectual property vendor, is rolling out a machine learning platform designed to boost the functionality of devices at the network edge, beginning with an object detection ...

FOMO is a deep learning object detection model that weighs less than 200 kilobytes. ... where the machine learning model must only predict the presence of a certain type of object in an image.

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 ...

In brief: Thanks to machine learning, object detection has come a long way in recent years, but most models still perform best on low-resolution video images. Now, researchers at Carnegie Mellon ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.

There are many more potentially valuable applications for deep learning object detection in SMT and semiconductor applications that we are actively pursuing. For more information about this ...