One of the tools that can be put to work in object recognition is an open source library called TensorFlow, which [Evan] aka [Edje Electronics] has put to work for exactly this purpose.

Object recognition for robots Robots' maps of their environments can make existing object-recognition algorithms more accurate Date: July 24, 2015 Source: Massachusetts Institute of Technology ...

To help with that, [Edje Electronics] has put together a step-by-step guide to using TensorFlow to retrain Google’s Inception object recognizer.

Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is ...

IBM developer Nicholas Bourdakos recently created a new Code Pattern that lets just about anyone develop and train an AI model to recognize objects using computer vision. Bourdakos’ Code Pattern ...

Real time object recognition is a much more demanding neural network model: YOLOv3 has 62 million weights, 3x that of ResNet-50, and requires 800 billion operations for one 2 megapixel image, 100x ...

Specifically, Google is working on a pilot project with the DoD which leverages TensorFlow APIs to assist in object recognition on unclassified data, Google confirmed to ZDNet.

Our brains begin to create internal representations of the world around us from the first moment we open our eyes. We perceptually assemble components of scenes into recognizable objects thanks to ...