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Ray Kurzweil

 

Baidu image recognition has fewer errors than Google and is claimed to be close to human level

RATE THIS! +23
Posted in Software on 18th Jan, 2015 07:17 PM by AlexMuller

Baidu has an image recognition system, Deep Image, developed using deep learning. The key components are a custom-built supercomputer dedicated to deep learning, new algorithms and large neural networks.

 

On one of the most challenging computer vision benchmarks, the ImageNet classification challenge, the system has achieved the best result to date, with a top - 5 error rate of 5.98% -a relative 10.2% improvement over the previous best result.

 
Chinese search engine company Baidu says it has built the world’s most-accurate computer vision system, dubbed Deep Image, which runs on a supercomputer optimized for deep learning algorithms. Baidu's 5.98 percent error rate on the ImageNet object classification benchmark is better than Google's 2014 ImageNet competition winning 6.66 percent error rate.

Tags: BaiduGoogleAIimage recognitioncomputer visiondeep learningsoftware

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Comments

Author: Guest
Posted: 2015-01-19
+1
Well, when the difference of error is just marginally better (5.98 compared to 6.66) we are taking about remarkable progress in this area in any case Reply


 

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