Don't Settle: 5 Must-Have Traits for Your Computer Vision Expert

Computer Vision is perhaps the "heaviest" field within AI. It's not simple text. It's video, medical imaging, satellite imagery. The most common mistake recruiters make is looking for "someone who worked with YOLO." That's not enough.

1. Deep Understanding of Hardware (Edge Computing)

Unlike LLMs that run in the cloud, vision models often need to run on the camera itself (On-Device). A real expert will talk to you about Quantization, Latency, and battery consumption.

2. Not Just Deep Learning, Also Geometry

It's easy to "throw" a neural network at every problem. But sometimes, a classical OpenCV solution (like edge detection) will be 100x faster and more accurate. Your expert must know the "old world" too.

3. Sophisticated Data Augmentation

Data in computer vision is expensive. An expert who knows how to generate Synthetic Data or use GANs to enrich your Dataset is worth their weight in gold.

4. Experience with 3D and Point Clouds

The world is 3D. If your expert only knows 2D images, they are limited. Look for knowledge in LiDAR or NeRFs.

5. Passion for Small Details (Pixel Perfect)

Unlike text, where "approximate" is sometimes enough, in computer vision, one pixel can be the difference between a benign and malignant tumor. Perfectionism is not a bug, it's a feature.

Conclusion

A CV (Computer Vision) expert is a mix of scientist and engineer. Don't settle for less than the best, because in this field - mistakes are very expensive.

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