Examples of using Visual recognition in English and their translations into Chinese
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The IBM Visual Recognition.
Visual Recognition used to consist of engineered features with a bit of machine learning sprinkled on top at the end(e.g., SVM).
Create the Watson Visual Recognition service.
Like visual recognition, facial recognition is a tool that can augment these abilities.
In April 2013, Enterprise VI visual recognition system design was completed.
The Visual Recognition service classifies the image and returns the information to the server.
Use machine learning, deep learning, and visual recognition to improve critical processes.
IBM Watson visual recognition of a new height, using GPUs distributed network to understand the image content.
Inception-v3 is trained for the ImageNet Large Visual Recognition Challenge using data from 2012.
IBM's Watson Visual Recognition service to support Apple Core ML technology Blog announcing support of Core ML.
Create a mobile application that can sendpictures to a server app for classification using Visual Recognition.
It uses deep neural networks to provide visual recognition algorithms for various applications, such as car traffic analysis.
See detail in paper:Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition.
Schmidt says computers do a better job at visual recognition than humans do and will replace humans in this capacity eventually.
Deep neural networks(DNNs) have advanced many machine learning tasks,including speech recognition, visual recognition, and language processing.
Similarly, Facebook uses these visual recognition algorithms to recognize and tag friends in photos even faster than you can.
Create a Python server with Flask that can utilize the Watson Visual Recognition service for classifying images.
Most visual recognition systems require a human to label every aspect of every object in each scene in a dataset, a laborious and costly process.
The server application usespictures of common trash to train Watson Visual Recognition to identify the various categories of waste.
Blippar said its visual recognition capabilities could be compared to"those of a child with 33,000 words to describe the world in a generic level.".
So depending on the industrial use case,developers can use the Watson Visual Recognition service to automate the inspection process!
Use Watson Visual Recognition and Core ML to create a Kitura-based iOS game that has a user search for a predetermined list of objects.
There's no question in my mind that AI, predictive analytics,sentiment analytics, visual recognition and natural language interfaces are maturing far faster than we expected.
This code pattern uses Watson Visual Recognition, Watson Studio, and a Python notebook to demonstrate a way to detect covered faces.
Use drone aerial images, Watson Studio, and Watson Visual Recognition to survey wildfire-damaged neighborhoods and identify burned homes and intact….
The server app sends the image to the Watson Visual Recognition service, which classifies the image and sends the result back to the server.
The server sends the image to the Watson Visual Recognition Service for analysis and sends the classification result back to the mobile app.
The proof is in the ImageNet Large-Scale Visual Recognition Challenge, an annual contest for scientists attempting to developing a robotic equivalent to human vision.