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Computer Vision

Organizations hire candidates who excel in Computer Vision to tap into the unexplored potential of visual data, automate intricate processes, and unlock new avenues for innovation. These skilled individuals enable businesses to interpret and analyze their visual data more effectively, leading to more accurate, data-driven decisions. In industries such as healthcare, autonomous vehicles, and retail, the insights gleaned from Computer Vision can enhance customer experiences, improve safety protocols, and increase overall operational efficiency.

Assessment Details
US $15

Performance Analysis report

40 minutes
40 MCQ

Certificate of Specialization

Credential of Readiness 

Test Syllabus

The Computer Vision Skill Test is an assessment designed to measure a candidate's ability to comprehend and apply the principles and techniques that enable machines to understand and interpret visual data. The test evaluates the understanding of the intricacies involved in making machines 'see' and 'interpret' their surroundings, and the candidate's proficiency in applying this knowledge to solve real-world problems.


Topics covered in the test:


  • Introduction to Computer Vision

  • Color, Pixels and Filters

  • Edge Detection

  • Features and Fitting

  • Image Resizing and Semantic Segmentation

  • Clustering

  • Object Recognition

  • Dimensionality Reduction and Face Identification

  • Visual Bag of Words and Basics of Object Detection

  • Object Detection from Deformable Parts

  • Semantic Hierarchies, Motion and Tracking

Related Roles

Having verifiable Computer Vision skills can give you an edge in various technologically forward sectors, ranging from automotive to healthcare, security, and e-commerce. These skills are crucial in empowering machines to understand and interpret the visual world.


Internship Roles:


  • Computer Vision Intern

  • Machine Learning Intern

  • AI Research Intern

  • Data Science Intern

  • Robotics Engineering Intern

  • Augmented Reality Developer Intern

  • Autonomous Systems Intern

  • Deep Learning Intern


Full-time Roles:


  • Computer Vision Engineer

  • Machine Learning Engineer

  • Data Scientist

  • AI Engineer

  • Robotics Engineer

  • Augmented Reality Developer

  • Image Processing Engineer

  • Research Scientist in AI

  • Software Engineer (Computer Vision)

  • Autonomous Driving Engineer

  • Biomedical Imaging Specialist

  • Video Algorithm Engineer

  • Security System Developer

  • 3D Sensing Engineer

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