Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily ...

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

Recovering data: Neural network model finds small objects in dense images Date: August 4, 2020 Source: National Institute of Standards and Technology (NIST) Summary: In efforts to automatically ...

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

There are many different types of anomaly detection techniques. This article explains how to use a neural autoencoder implemented using raw C# to find anomalous data items. Compared to other anomaly ...