Examples of using Visual recognition in English and their translations into French
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Colloquial
the ImageNet Large Scale Visual Recognition Challenge(ILSVRC), where software programs compete to correctly classify and detect objects and scenes.
was developed for the ImageNet Large-Scale Visual Recognition Challenge(ILSVRC) in 2014
Examples include jobs that require complex visual recognition and adaptation tasks such as housekeepers,
coupled with a computerized visual recognition system.
Germany, to continue prototyping their visual recognition application.
high-school students about plants and trees using visual recognition software to help identify tree species from photographs of their leaves.
it must enable visual recognition of the employee performing movements that are incompatible with prescribed medical limitations.
it is also key in helping us to integrate new technological innovations(voice interface, visual recognition, artificial intelligence) on an ongoing basis as they become relevant.
Using this visual recognition technology, Selectionnist can transform any image into a point of interaction between a brand
Munitions experts, utilizing both visual recognition techniques and appropriate detectors, conducted in-depth searches of munitions production,
measures to hinder visual recognition of the person; and the use of mechanical
Visual recognition confirmed.
Voice and visual recognition via apps.
Connectivity is quickly and simply allowed by Visual Recognition.
this face-matching technology uses visual recognition.
handrails or stanchions must be high colour-contrasted with their background to assist with visual recognition.
continuous visual recognition memory, word generation
to assist with visual recognition, that runs the full width of the leading edge of the step, excluding any side edge mouldings, and can be viewed from both directions of travel.
Whether there exists a practice of informing the public which electronic criminal justice databases are established and managed(advanced visual recognition systems/closed-circuit television,
The narrative summaries suggest that subject awareness is sometimes based on the subject's visual recognition of the CEW(as noted by comments such as“Is that a Taser?” and“Are you going to Taser me?”),