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

There are several open-source tools that create object detection annotations. Example of an annotation file for object detection training data.

For example, an object detection neural network may have the following layers: input layer (contains a still image of a scene), hidden layers (detect moving object, detect object parts, classify ...

Arlo's new camera AI effectively recognizes specific objects like left-out toys Arlo's Custom Detection homepage is where you go to set up object or scenario recognition. Tyler Lacoma/CNET ...

This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students’vocabulary learning. We developed a system that utilized strategies ...

Tailored flexible illusion coatings hide objects from detection Date: October 13, 2014 Source: Penn State Summary: Developing the cloak of invisibility would be wonderful, but sometimes simply ...