Computer vision is an AI technology that allows machines to interpret and analyze visual data through a process of image acquisition, preprocessing, and algorithmic interpretation. The technology has
diverse applications across industries and relies on key concepts like image classification, object detection, and neural networks.
Reasons to Read -- Learn:
how computer vision systems process and analyze images through a clear, step-by-step breakdown of the four main stages: image acquisition, preprocessing, feature extraction, and interpretation.
practical steps to begin your computer vision journey, including specific tools like Python, OpenCV, TensorFlow, and PyTorch, along with guidance on starting with simple projects.
real-world applications of computer vision across five major industries: security (facial recognition), automotive (self-driving cars), healthcare (medical imaging), retail (automated checkout), and social media (content moderation).
3 min readauthor: Madhu deepak
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