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A Beginner’s Guide to Computer Vision (CV) deep learning (DL)

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What is Computer Vision?

Computer Vision (CV) enables machines to process and understand visual data.

Example: A camera recognizing a cat in a photo

Key Components for CV

1. Acquiring an Image — Capturing using cameras.

2. Processing the Image — Enhancing quality.

3. Extracting Features — Identifying objects, edges, and patterns.

4. Making Decisions — Detecting faces, counting people, etc.

Small Code (Python with OpenCV):

import cv2
img = cv2.imread('cat.jpg')
cv2.imshow('Cat Image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

Use in Retail: Detect products on shelves (e.g., Shopee sellers ensuring stock visibility).

End Notes: CV is the foundation for visual automation.

How to Remember: Think “CV = Computer Vision = Computers Seeing.”

How is it Related to AI?

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NextGenAI
NextGenAI

Published in NextGenAI

Explore the future of AI with tutorials, insights, and projects in Generative AI, Large Language Models, and beyond. From mastering PyTorch and TensorFlow to creating groundbreaking applications, we simplify complex concepts fo

Prem Vishnoi(cloudvala)
Prem Vishnoi(cloudvala)

Written by Prem Vishnoi(cloudvala)

Head of Data and ML experienced in designing, implementing, and managing large-scale data infrastructure. Skilled in ETL, data modeling, and cloud computing

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