TestGorilla
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mettl
Codility
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Scikit Image
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Microsoft Computer Vision API
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Microsoft Video API
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TestGorilla
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Weโve been using TestGorilla as part of our hiring process to screen applicants before bringing them into interviews, and itโs proven quite useful. The idea is simple but helpful: instead of spending hours reviewing resumes, you give candidates a relevant test right away. Seeing how people perform on real job-related tasks gives us a much clearer picture early on.
The test library is broad, covering everything from coding challenges and software proficiency to logical thinking and communication skills. Setting up and sending tests doesnโt take long, and the results are laid out in a clear way that makes comparison between applicants straightforward.
Where it falls a bit short is in the depth of some tests โ a few feel like theyโre too surface-level to really separate top performers from average ones. Creating your own custom assessments is possible, but the interface for doing that could use refinement. Also, once you scale up hiring, costs add up โ especially if every team needs access.
Overall, TestGorilla adds real value to the recruiting process by helping weed out unfit candidates early and giving objective data on skills โ which is why I give it 4 out of 5 stars.
Based on our record, Scikit Image should be more popular than TestGorilla. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
What I had in mind was using either SHL-style aptitude tests, or third party assessments like testgorilla.com rather than a take-home exercise that I'd be moderating. I also remembered doing an online knowledge test of various web technologies when I used to be a web-dev - which could be useful for assessing Unity/C# knowledge. Source: almost 4 years ago
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / about 2 years ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / over 2 years ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 3 years ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: almost 4 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 4 years ago
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
OpenCV - OpenCV is the world's biggest computer vision library
iMocha - Make intelligent talent decisions.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
mettl - Mettl is a #SaaS based Online #Assessment Platform which helps you measure a candidate's #Aptitude, #Technical skills & conduct
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.