Sentence examples for recognition quality from inspiring English sources

Exact(12)

Radiographers acknowledged the need of dedicated education and training on digital mammography (DM), training in artifact recognition, quality control, intervention, optimisation, dosimetry and tomosynthesis.

Following the same line for assessing the recognition quality as on the first stage of learning, we obtained the optimal free parameter values for each channel.

According to the documents, the agency intercepts "millions" of images per day — including about 55,000 "facial recognition quality images" — although it is not clear how many images the agency has amassed in total at this point.

Clearly, this space is opening up and I think Callwave's competitors should take note and current competitors in this space, Jott included will probably step up development of voice recognition quality as a result.

According to the documents, the agency intercepts "millions" of images per day — including about 55,000 "facial recognition quality images" — although it is not clear how many images the agency has amassed in total at this point.

The results of the testing phase are provided in Table 4. Comparison of recognition results obtained on data for 1 20 July (learning material) and 21 31 July (testing material) shows that the recognition quality is about the same.

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Similar(47)

Part of the consumer-facing, high brand recognition qualities of San Francisco startups may be tied to the decision to locate in an urban center.

Evidence without recognition and identification quality images will not stand up in court.

The New York Times says leaked National Security Agency documents show in 2011 it intercepted about 55,000 "facial-recognition-quality images" every day.

The newspaper said the documents showed that the agency intercepted millions of images per day, including about 55,000 "facial recognition-quality images".

Enabling technologies are: embedded controllers, cheap sensors, powerful networking, practical speech recognition and quality text to speech.

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