Computer Vision 101 - glossary for recruiters or sourcers

Ever had trouble identifying top notch Computer Vision candidates? Or if you have identified them, you don't have a clue on how to structure your conversation with them because it all sounds like Greek? Perhaps, you are staring at your notes from a call earlier today with a Computer Vision engineer and don't know how you will turn your raw call notes into an intelligent submission to the hiring manager?

If so, this quick blog with a glossary of the top terms used in the industry is perfect for you!

Computer vision is a subfield of artificial intelligence (AI) that involves the development of algorithms and systems that can understand and analyze visual data. Here is a list of the top 10 terms that a recruiter may encounter when trying to recruit computer vision engineers:

1. Image classification: the process of assigning a label or category to an image based on its content.
2. Object detection: the process of identifying and localizing objects in an image or video.
3. Image segmentation: the process of dividing an image into regions or segments based on features such as color or texture.
4. Image recognition: the process of identifying objects, people, or scenes in an image.
5. Image restoration: the process of repairing or improving the quality of an image.
6. Object tracking: the process of following the movement of an object in a video stream.
7. Scene understanding: the process of analyzing and interpreting the content of an image or video.
8. 3D reconstruction: the process of generating a 3D model of an object or scene from 2D images or video.
9. Face detection: the process of identifying and locating faces in an image.
10. Face recognition: the process of identifying individuals based on their facial features.

Good luck on "recognizing" and "detecting" top notch Computer Vision engineers in the future. And sorry for the bad joke - couldn't resist it 😂

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