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, it… ...

Object detection models are much more complex than image classification networks and require more memory. “We added computer vision support to Edge Impulse back in 2020, and we’ve seen a ...

By integrating region detection into the main neural network architecture, Faster R-CNN achieves near-real-time object detection speed. YOLO Above: YOLO architecture.

NIST's neural network model captured 97% of objects in a defined set of test images, ... "But the study of small, dense object detection has a lot of other applications.

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 ...