Below you will find example sentences with "computer vision". The examples show how this phrase is used in natural context and which words often surround it.

Computer Vision in a sentence

Corpus data

  • Displayed example sentences: 20
  • Discovered as a combination around: vision
  • Corpus frequency in the collocation scan: 9
  • Phrase length: 2 words
  • Average sentence length: 24.3 words

Sentence profile

  • Phrase position: 9 start, 7 middle, 4 end
  • Sentence types: 20 statements, 0 questions, 0 exclamations

Corpus analysis

  • The phrase "computer vision" has 2 words and usually appears near the start in these examples. The average sentence has 24.3 words and is mostly made up of statements.
  • Around this phrase, patterns and context words such as 3d models computer vision often produces, based services computer vision artificial intelligence, environment, technology and image stand out.
  • In the phrase index, this combination connects with quantum computer, computer science, computer systems, vision pro and night vision, linking the page to nearby combinations.

Example types with computer vision

This selection groups the examples by length and sentence type, making usage of the full phrase easier to scan:

The computer vision and machine vision fields have significant overlap. (10 words)

Another key area of foundational improvement is our proprietary computer vision technology. (12 words)

Computer vision and image recognition are at the heart of the AI revolution. (13 words)

It also implies that the external conditions such as lighting can be and are often more controlled in machine vision than they are in general computer vision, which can enable the use of different algorithms. (35 words)

In the case of DotaBuff co-founder Sabina Hemmi, her team is looking into technology like computer vision—teaching a computer to watch and analyze events on a screen—to mesh with the comprehensive API. (35 words)

Awiros was selected as the winner of the RTX Innovation Challenge, an Indian competition launched in September 2019 with more than 60 Indian and global startups working in computer vision, AI, and machine learning. (34 words)

Example sentences (20)

As a technological discipline, computer vision seeks to apply its theories and models for the construction of computer vision systems.

The company’s Vision Model harnesses computer vision and natural language processing (NLP) to detect, classify, and tag various visual and text elements within content.

Brown University computer vision experts teach computers to see context-dependent optical illusions, in the hopes of helping artificial vision algorithms take context into account and be more robust.

Computer vision, on the other hand, studies and describes the processes implemented in software and hardware behind artificial vision systems.

Information about the environment could be provided by a computer vision system, acting as a vision sensor and providing high-level information about the environment and the robot.

It also implies that the external conditions such as lighting can be and are often more controlled in machine vision than they are in general computer vision, which can enable the use of different algorithms.

The computer vision and machine vision fields have significant overlap.

His father is a professor of computer science and the director of the computer vision laboratory at the New Jersey Institute of Technology in Newark.

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In the case of DotaBuff co-founder Sabina Hemmi, her team is looking into technology like computer vision—teaching a computer to watch and analyze events on a screen—to mesh with the comprehensive API.

To do computer vision — allowing a computer toidentify things in pictures and video — researchers wrote algorithms for detecting edges.

Computer vision and robotics main In this specialty, computer engineers focus on developing visual sensing technology to sense an environment, representation of an environment, and manipulation of the environment.

Toward the end of the 1990s, a significant change came about with the increased interaction between the fields of computer graphics and computer vision.

While computer graphics produces image data from 3D models, computer vision often produces 3D models from image data.

Another key area of foundational improvement is our proprietary computer vision technology.

At the forefront of this global revolution are advancements in cloud computing, wireless communication, location-based services, computer vision, artificial intelligence (AI), and the Internet of Things (IoT).

Awiros was selected as the winner of the RTX Innovation Challenge, an Indian competition launched in September 2019 with more than 60 Indian and global startups working in computer vision, AI, and machine learning.

But has taught us that computer vision tech — especially tech designed for anti-shoplifting purposes — is susceptible to bias and other flaws.

Computer vision and image recognition are at the heart of the AI revolution.

If nothing in the image moves, that works great, but the “if nothing moves” thing is a pretty big caveat, especially when it comes to computer vision.

Jes spends much of her time testing theories on the future of search, leading projects in chatbots, computer vision, virtual reality, AI for automation and anything else that can future proof brands.

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