Explore the history, key terms, and how image recognition works. Gain insights into image recognition APIs and their implementations.

Anja Petry

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This post explores the basics of image recognition, including the difference between computer vision and image recognition, the tasks of computer vision programs, and how image recognition works using convolutional neural networks (CNNs).

Basics of Image Recognition

Here are a few commercial applications of image recognition:
Security and Surveillance: Facial recognition for identity verification and automated surveillance systems.
Healthcare: Analyzing medical images for diagnostics, such as identifying tumors in X-rays or MRI scans.
Retail: Visual search functionalities that allow users to search for products using images instead of text.
Automotive: Autonomous vehicles use image recognition to identify road signs, pedestrians, and other vehicles to navigate safely.
Manufacturing: Quality control processes where machines inspect products for defects.
Agriculture: Identifying crop diseases and pests to improve yield.
What else is missing on this list? Also what computer vision projects have you worked on?