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About the 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.

Covered skills:

  • Image Processing
  • Feature Detection
  • Image Filtering
  • Image Segmentation
  • Image Stitching
  • Computer Vision
  • Object Recognition
  • Image Enhancement
  • Camera Calibration

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9 reasons why
9 reasons why

Adaface OpenCV Assessment Test is the most accurate way to shortlist Computer Vision Engineers

Reason #1

Tests for on-the-job skills

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
Reason #2

No trick questions

no trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface
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Reason #3

Non-googleable 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
Reason #4

1200+ customers in 75 countries

customers in 75 countries

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment OpenCV Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests
Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the OpenCV Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

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Reason #7

Detailed scorecards & benchmarks

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

test completion rate
Reason #9

Advanced Proctoring

Learn more

About the OpenCV Online Test

Why you should use Pre-employment OpenCV Test?

The OpenCV Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

  • Implementing image processing algorithms
  • Applying computer vision techniques
  • Utilizing OpenCV functions and libraries
  • Performing feature detection on images
  • Recognizing objects in images
  • Applying filters to enhance images
  • Segmenting images for analysis
  • Calibrating cameras for accurate measurements
  • Stitching multiple images together
  • Analyzing image quality and enhancing it

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the OpenCV Test?

  • 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.

  • Full list of covered topics

    The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for OpenCV Test to be based on.

    Image acquisition
    Image resizing
    Image rotation
    Image translation
    Image cropping
    Image histogram equalization
    Image thresholding
    Image blurring
    Image sharpening
    Image edge detection
    Image gradient calculation
    Image contour detection
    Image shape analysis
    Image morphological operations
    Image noise reduction
    Image artifact removal
    Image smoothing
    Image segmentation techniques
    Camera calibration
    Camera distortion correction
    Feature detection
    Feature extraction
    Object recognition
    Template matching
    Histogram of Oriented Gradients (HOG)
    Scale-Invariant Feature Transform (SIFT)
    Speeded-Up Robust Features (SURF)
    Local Binary Patterns (LBP)
    Corner detection
    Edge detection
    Image filtering
    Mean filter
    Median filter
    Gaussian filter
    Bilateral filter
    Non-local Means filter
    Histogram equalization
    Contrast stretching
    Gamma correction
    Color space conversion
    Histogram manipulation
    Image enhancement
    Histogram matching
    Brightness adjustment
    Contrast adjustment
    Sharpness adjustment
    Image segmentation
    Thresholding techniques
    Watershed transformation
    Connected component labeling
    Contours and boundary extraction
    Image stitching
    Feature point detection
    Feature point matching
    Image alignment
    Bundle adjustment
    Perspective rectification
    Homography estimation
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What roles can I use the OpenCV Test for?

  • Computer Vision Engineer
  • Image Processing Engineer
  • Data Scientist
  • Machine Learning Engineer
  • Software Developer
  • Research Scientist

How is the OpenCV Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

  • Implementing pattern matching algorithms
  • Applying geometric transformations to images
  • Working with depth maps and 3D reconstruction
  • Utilizing machine learning for image analysis
  • Understanding image histogram and equalization
  • Optimizing image processing algorithms
  • Handling image noise and artifacts
  • Working with image compression algorithms
  • Utilizing parallel computing for faster processing
  • Developing custom image processing techniques
  • Implementing real-time image processing systems
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The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.

reduction in screening time

OpenCV Hiring Test FAQs

Can I combine multiple skills into one custom assessment?

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.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Non-googleable questions
  • IP proctoring
  • Screen proctoring
  • Web proctoring
  • Webcam proctoring
  • Plagiarism detection
  • Secure browser
  • Copy paste protection

Read more about the proctoring features.

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.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

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.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

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40 min tests.
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