Beyond YOLO: Thriving in the Computer Vision Market
Nowadays, there is a rapid release cycle for new versions of YOLO (You Only Look Once) with each iteration outperforming its predecessors. Every 3 to 4 months, an upgraded YOLO variant is introduced, showcasing improved performance in terms of accuracy, speed, and robustness for object detection tasks.
However, the crucial question that demands our attention is:
“Is YOLO knowledge enough to survive in the computer vision market?”
The answer is “NO”, but that does not mean YOLO knowledge is not important. In this article, we will learn what skills you require other than YOLO to become a complete computer vision engineer and the skills that will help you in your computer vision career growth.
Why is only YOLO knowledge insufficient for a Computer Vision Engineer?
There are many reasons for only YOLO knowledge insufficiency for a computer vision engineer. But three among them are discussed:
- Online Platforms: With the availability of various online platforms like Roboflow and Ultralytics Hub that offer easy-to-use tools for training YOLO models, it raises the question of why clients would choose to hire you instead of training the models themselves.
