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.

Applying Deep Learning to Automate UAV-Based Detection of Scatterable Landmines. Remote Sensing, 2020; 12 (5): 859 DOI: 10.3390/rs12050859 ...

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 datasets ...

A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it possible to run real-time object detection on devices with very ...

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...

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 ...

Engineers develop novel techniques to trick object detection systems Project to test and improve deep-learning algorithms for enhanced security Date: April 4, 2019 Source: Southwest Research ...

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 ...

Future integration of the deep learning algorithm into standard system software would allow factory engineers to train networks that could then be run locally for inspection. There are many more ...