Examples of using Recognition accuracy in English and their translations into Vietnamese
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Computer
Recognition accuracy: 99%(under ideal environment).
Google claims its voice recognition accuracy is now at 92%.
Recognition accuracy: 99%(under ideal environment).
This leads to efficient machine learning, increasing recognition accuracy.
The recognition accuracy is high and the speed is fast.
Let me just say that I am absolutely awed by Alexa's recognition accuracy on the Amazon Echo.
The recognition accuracy is high for face recognition system.
Intelligent” systems with a high degree of recognition accuracy for most fonts are now common.
Recognition accuracy is less than 1mm, The sensor can identify the level fluctuation of less than 1mm.
The OrCam uses optical character recognition(OCR) in combination with an algorithm called ShareBoost,which balances recognition accuracy with speed.
Based on a series of experiments, the recognition accuracy of solutions using the Deep Learning algorithm increased accuracy by 38%- applying this to the previous example, that's a saving of nearly one hour each night.
Some of the most direct benefits that deep learning algorithms can bring include achieving comparable oreven better-than-human pattern recognition accuracy, strong anti-interference capabilities, and the ability to classify and recognise thousands of features.
It improves facial recognition accuracy by up to 500 percent compared to conventional systems and can even detect and identify face angled up to 45 degrees to the left or right, or 30 degrees up or down.
In a field trial that applied this technology to software designed with the ability to recognize the 11 events described below,it achieved recognition accuracy of 90-95%, an improvement of 5-10% compared to before the new technology was applied.
In 2017, Google's level of speech recognition accuracy reached the coveted 95% threshold, while in the same year, Baidu claimed to have reached a 97% accuracy rate with speech recognition- and is aiming for 99%.
Performance- refers to the achievable recognition speed and accuracy, the resources to be used in achieving the desired recognition accuracy and speed and the environmental and operational factors that affect the accuracy and speed.
For example, we use error reports to improve security features, search queries and clicks in Bing to improve the relevancy of the search results, usage data to determine what new features to prioritize,and audio recordings from voice input features to improve speech recognition accuracy.
The app claims 95% accuracy for voice recognition.
A 360° recognition function improves scanning accuracy, even if your hands are wet.
A 360° recognition function improves scanning accuracy, even if your hands are wet.
A: To improve the accuracy of the pattern recognition software and overall quality of service.
Cinnamon AI has 99.2% accuracy for handwriting recognition(significantly better than humans) and is up to 100% accurate for business data.
She then tested the accuracy of three facial recognition systems from Microsoft, IBM, and Megvii(a Chinese firm).
She then tested the accuracy of three facial recognition systems from Microsoft, IBM, and Megvii(a Chinese firm).
In June 2015, the company announced that this experimental recognition algorithm performed with 83 percent accuracy.
In recent years, the accuracy of facial recognition systems has advanced so far that Chinese technology giant Baidu claims to be able to adjust faces with 99% accuracy, provided the face is clear enough in the video.
AI Vision product:“Extracting information from driving license”, with recognition of 96% accuracy on average, in which important fields can reach 98-99% accuracy, contributing to improving the OCR solution of FPT.
We now have image recognition tools with 99% accuracy, AI now can distinguish who this face is, this block is the TV or the barrel, which is the simulation of the vision function.
NEC Corporation has announcedthat its face recognition technology achieved the highest matching accuracy in the Face Recognition Vendor Test(FRVT) 2018 performed by the U.S. National Institute of Standards and Technology(NIST), with an error rate of 0.5% when registering 12 million people.