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OpenCV Test

The OpenCV Test evaluates a candidate's knowledge and understanding of image processing and computer vision concepts. It includes multiple-choice questions to assess knowledge of topics such as image filtering, feature detection, object recognition, and image enhancement.

Screen candidates with a 40 mins test

Test duration:  ~ 40 mins
Difficulty level:  Moderate
Availability:  Available as custom test
  • 5 Image Processing MCQs
  • 5 Computer Vision MCQs
  • 5 OpenCV MCQs
Covered skills:
Image Processing
Computer Vision
Feature Detection
Object Recognition
Image Filtering
Image Enhancement
Image Segmentation
Camera Calibration
Image Stitching

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Use the OpenCV Assessment Test to shortlist qualified candidates

The OpenCV Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

  • Ability to manipulate and process images using OpenCV libraries
  • Knowledge of computer vision techniques and algorithms
  • Understanding of feature detection and object recognition
  • Proficiency in image filtering and enhancement techniques
  • Familiarity with image segmentation and camera calibration
  • Experience in image stitching and panorama creation
  • Ability to optimize image processing algorithms for performance
  • Understanding of color spaces and image histograms
  • Knowledge of contour detection and shape analysis
  • Proficiency in applying morphological operations to images
  • Ability to handle image noise and artifacts
  • Understanding of perspective transformation and homography

Screen candidates with the highest quality questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

Test candidates on core OpenCV Hiring Test topics

Image Processing: Image processing involves manipulating or altering digital images to improve their quality or extract meaningful information from them. This skill is measured in the test to assess the candidate's ability to apply various techniques and algorithms to process images effectively.

Computer Vision: Computer vision is the field of study that focuses on enabling computers to understand and interpret visual information from digital images or videos. Measuring this skill in the test helps evaluate the candidate's understanding of computer vision concepts and their proficiency in applying computer vision algorithms to analyze visual data.

Feature Detection: Feature detection refers to the process of identifying and locating specific features or patterns within an image. This skill is measured to gauge the candidate's ability to identify and extract relevant features from images, which is crucial for tasks like image recognition, tracking, and matching.

Object Recognition: Object recognition involves recognizing and classifying objects or specific patterns within an image or video. Measuring this skill in the test helps assess the candidate's knowledge of object recognition algorithms and their ability to utilize such techniques for tasks like object detection, classification, and localization.

Image Filtering: Image filtering pertains to the process of enhancing or altering images by applying various filters or convolutional operations. This skill is measured to evaluate the candidate's proficiency in performing image filtering operations using different filters like blur, sharpen, edge detection, etc., and understanding their impact on image quality and appearance.

Image Enhancement: Image enhancement involves improving the visual quality or information content of an image to make it more visually appealing or suitable for further analysis. Measuring this skill in the test helps ascertain the candidate's ability to apply appropriate enhancement techniques, such as contrast adjustment, noise reduction, and histogram equalization, to enhance image details and overall quality.

Image Segmentation: Image segmentation refers to the process of partitioning or dividing an image into meaningful regions or segments based on specific criteria or image properties. Measuring this skill in the test allows the assessment of the candidate's capability to apply algorithms and techniques for image segmentation, which is essential for tasks like object recognition, scene understanding, and image editing.

Camera Calibration: Camera calibration involves estimating the camera parameters that enable mapping of 3D points to their corresponding 2D image coordinates. This skill is measured in the test to evaluate the candidate's understanding of camera calibration techniques and their ability to calibrate cameras for tasks like 3D reconstruction, pose estimation, and augmented reality.

Image Stitching: Image stitching is the process of combining multiple overlapping images to create a single panoramic image. Measuring this skill in the test helps assess the candidate's knowledge of image stitching algorithms and their ability to accurately align and blend multiple images to produce seamless panoramas.

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Have questions about the OpenCV Hiring Test?

How does pricing work?

You can check out our pricing plans.

Can I customize the test?

Yes, absolutely. Custom assessments are set up within 48 hours based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test. You can also customize a test by uploading your own questions.

Can I combine multiple skills into one test?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

What roles can I use the OpenCV Assessment Test for?

Here are few roles for which we recommend this test:

  • Computer Vision Engineer
  • Image Processing Engineer
  • Data Scientist
  • Machine Learning Engineer
  • Software Developer
  • Research Scientist
Can I see a sample test, or do you have a free trial?


The free trial includes one sample technical test (Java/ JavaScript) and one sample aptitude test that you will find in your dashboard when you sign up. You can use it to review the quality of questions and the candidate experience of giving a test on Adaface.

You can preview any of the 500+ tests and see the sample questions to decide if it would be a good fit for your requirements.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

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