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About the test:

OPENCV测试评估了候选人对图像处理和计算机视觉概念的了解和理解。它包括多项选择问题,以评估诸如图像过滤,特征检测,对象识别和图像增强等主题的知识。

Covered skills:

  • 图像处理
  • 功能检测
  • 图像过滤
  • 图像分割
  • 图像缝合
  • 计算机视觉
  • 对象识别
  • 图像增强
  • 相机校准

9 reasons why
9 reasons why

Adaface OpenCV Assessment Test is the most accurate way to shortlist 计算机视觉工程师s



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:

  • 使用OpenCV库来操纵和处理图像的能力
  • 了解计算机视觉技术和算法
  • 了解功能检测和对象识别
  • 熟练图像过滤和增强技术
  • 熟悉图像细分和相机校准
  • 图像缝合和全景创建的经验
  • 能够优化性能的图像处理算法
  • 了解颜色空间和图像直方图
  • 对轮廓检测和形状分析的了解
  • 能够将形态操作应用于图像
  • 处理图像噪声和伪影的能力
  • 理解观点转变和同型
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
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
Brandon

借助 Adaface,我们能够将初步筛选流程优化达 75% 以上,为招聘经理和我们的人才招聘团队节省了宝贵的时间!


Brandon Lee, 人事主管, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment OPENCV测试 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测试 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.

invite candidates
Reason #7

Detailed scorecards & benchmarks

查看样本记分卡
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测试 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:

  • 实施图像处理算法
  • 应用计算机视觉技术
  • 利用OpenCV功能和库
  • 在图像上执行特征检测
  • 识别图像中的对象
  • 应用过滤器来增强图像
  • 分割图像进行分析
  • 校准相机以进行准确的测量
  • 将多个图像缝合在一起
  • 分析图像质量并增强图像

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?

  • 图像处理

    图像处理涉及操纵或更改数字图像以提高其质量或从中提取有意义的信息。在测试中测量了该技能,以评估候选人应用各种技术和算法以有效地处理图像的能力。

  • 计算机视觉

    计算机视觉是研究领域的研究领域,该领域着重于启用启用。从数字图像或视频中理解和解释视觉信息的计算机。测量测试中的这一技能有助于评估候选人对计算机视觉概念的理解及其在应用计算机视觉算法来分析视觉数据的能力。

  • 功能检测

    功能检测是指该过程图像中识别和定位特定特征或图案的内容。该技能的衡量是为了评估候选人从图像中识别和提取相关特征的能力,这对于图像识别,跟踪和匹配等任务至关重要。

  • 对象识别

    对象识别涉及识别和分类图像或视频中的对象或特定模式。测量测试中的此技能有助于评估候选人对对象识别算法的了解及其在对象检测,分类和本地化等任务中使用此类技术的能力。

  • 图像过滤

    图像通过应用各种过滤器或卷积操作,过滤涉及增强或更改图像的过程。该技能的衡量是为了评估候选人在使用Blur,Sharten,Edge检测等不同过滤器(例如,了解它们对图像质量和外观的影响)中进行图像过滤操作的熟练程度。

  • 图像增强</h4> > <p>图像增强涉及改善图像的视觉质量或信息内容,以使其在视觉上更具吸引力或适合进一步分析。测量测试中的这一技能有助于确定候选人应用适当的增强技术的能力,例如对比度调整,降噪和直方图均衡,以增强图像细节和整体质量。</p> <h4>图像分割

    图像分割是指根据特定的标准或图像属性将图像分区或将图像分配为有意义的区域或段的过程。测量测试中的此技能允许评估候选人对图像分割应用算法和技术的能力,这对于诸如对象识别,场景理解和图像编辑等任务至关重要。

  • 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测试 to be based on.

    图像获取
    图像调整大小
    图像旋转
    图像翻译
    图像裁剪
    图像直方图均衡
    图像阈值
    图像模糊
    图像锐化
    图像边缘检测
    图像梯度计算
    图像轮廓检测
    图像形状分析
    图像形态操作
    降低图像噪声
    图像伪影去除
    图像平滑
    图像分割技术
    相机校准
    摄像机失真校正
    功能检测
    特征提取
    对象识别
    模板匹配
    定向梯度的直方图(HOG)
    比例不变特征变换(SIFT)
    加速强大的功能(冲浪)
    本地二进制图案(LBP)
    角检测
    边缘检测
    图像过滤
    平均过滤器
    中值过滤器
    高斯过滤器
    双边滤波器
    非本地的滤波器
    直方图均衡
    对比拉伸
    伽马校正
    颜色空间转换
    直方图操作
    图像增强
    直方图匹配
    亮度调整
    对比度调整
    清晰度调整
    图像分割
    阈值技术
    地区种植
    分水岭的转型
    连接的组件标签
    轮廓和边界提取
    图像缝合
    特征点检测
    功能点匹配
    图像对齐
    束调整
    透视纠正
    同型估计

What roles can I use the OpenCV Test for?

  • 计算机视觉工程师
  • 图像处理工程师
  • 数据科学家
  • 机器学习工程师
  • 软件开发人员
  • 研究科学家

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

  • 实施模式匹配算法
  • 将几何变换应用于图像
  • 使用深度图和3D重建
  • 利用机器学习进行图像分析
  • 了解图像直方图和均衡
  • 优化图像处理算法
  • 处理图像噪声和伪影
  • 使用图像压缩算法
  • 利用并行计算进行更快的处理
  • 开发自定义图像处理技术
  • 实施实时图像处理系统
Singapore government logo

招聘经理认为,通过小组面试中提出的技术问题,他们能够判断哪些候选人得分更高,并与得分较差的候选人区分开来。他们是 非常满意 通过 Adaface 筛选入围的候选人的质量。


85%
减少筛查时间

OpenCV Hiring Test 常见问题解答

我可以将多个技能结合在一起,为一个自定义评估吗?

是的,一点没错。自定义评估是根据您的职位描述进行的,并将包括有关您指定的所有必备技能的问题。

您是否有任何反交换或策略功能?

我们具有以下反交易功能:

  • 不可解决的问题
  • IP策略
  • Web Protoring
  • 网络摄像头Proctoring
  • 窃检测
  • 安全浏览器

阅读有关[Proctoring功能](https://www.adaface.com/proctoring)的更多信息。

如何解释考试成绩?

要记住的主要问题是评估是消除工具,而不是选择工具。优化了技能评估,以帮助您消除在技术上没有资格担任该角色的候选人,它没有进行优化以帮助您找到该角色的最佳候选人。因此,使用评估的理想方法是确定阈值分数(通常为55%,我们为您提供基准测试),并邀请所有在下一轮面试中得分高于门槛的候选人。

我可以使用该测试的经验水平?

每个ADAFACE评估都是为您的职位描述/理想候选角色定制的(我们的主题专家将从我们的10000多个问题的图书馆中选择正确的问题)。可以为任何经验级别定制此评估。

每个候选人都会得到同样的问题吗?

是的,这使您比较候选人变得容易得多。 MCQ问题的选项和问题顺序是随机的。我们有[抗欺骗/策略](https://www.adaface.com/proctoring)功能。在我们的企业计划中,我们还可以选择使用类似难度级别的问题创建多个版本的相同评估。

我是候选人。我可以尝试练习测试吗?

不,不幸的是,我们目前不支持实践测试。但是,您可以使用我们的[示例问题](https://www.adaface.com/questions)进行练习。

使用此测试的成本是多少?

您可以查看我们的[定价计划](https://www.adaface.com/pricing/)。

我可以免费试用吗?

我刚刚搬到了一个付费计划。我如何要求自定义评估?

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