~ 40 mins
- 5 Image Processing MCQs
- 5 Computer Vision MCQs
- 5 OpenCV MCQs
Available on request
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.
~ 40 mins
Available on request
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:
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.
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
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
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
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
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.
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.
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:
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.
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 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 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 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 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 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 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 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 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.
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.
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
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.
We have the following anti-cheating features in place:
Read more about the proctoring features.
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.
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.
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.
No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.
You can check out our pricing plans.
Yes, you can sign up for free and preview this test.
Here is a quick guide on how to request a custom assessment on Adaface.