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 ...

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 chec… ...

A new report assembles guidance on the testing and evaluation of machine-learning models for aerial object detection.

Using advanced machine learning, drones could be used to detect dangerous 'butterfly' landmines in remote regions of post-conflict countries, according to research.

The designs are for the ARM Machine Learning (ML) Processor, which will speed up general AI applications from machine translation to facial recognition; and the ARM Object Detection (OD) Processor ...

Object classification, detection, and segmentation One of the key reasons for the growing interest in machine learning systems is the problems they can solve in computer vision .

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 ...

New research shows that satellite data analyzed with a machine learning algorithm can detect ocean plastic with up to 100% accuracy. ... The NIR signals of various floating objects vary.

Chip designer ARM is unveiling two new categories of processors designed to bring machine learning to low-power devices without the need to phone into a cloud server. The new ARM ML processor is a ...